Triple
T8670936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultan Abdul Halim Airport |
E205793
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
AOR
AOR is the IATA airport code for Sultan Abdul Halim Airport, which serves Alor Setar in the Malaysian state of Kedah.
|
E750127
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: AOR | Statement: [Sultan Abdul Halim Airport, IATAcode, AOR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AOR Context triple: [Sultan Abdul Halim Airport, IATAcode, AOR]
-
A.
AORI
AORI is a research institute based at the University of Tokyo’s Kashiwa Campus, known for advanced studies in ocean, climate, and earth system sciences.
-
B.
ARO
ARO is the U.S. Army Research Office, a primary Army organization that funds and manages basic scientific research to support future military technologies and capabilities.
-
C.
OAR
OAR is the commonly used abbreviation for the Oregon Administrative Rules, which comprise the codified regulations issued by Oregon’s state agencies.
-
D.
OAR
OAR is the research arm of the U.S. National Oceanic and Atmospheric Administration that advances understanding and prediction of the ocean and atmosphere.
-
E.
OAR
OAR is the commonly used acronym for the U.S. Environmental Protection Agency’s Office of Air and Radiation, which oversees national efforts to protect and improve air quality and control radiation exposure.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AOR Triple: [Sultan Abdul Halim Airport, IATAcode, AOR]
Generated description
AOR is the IATA airport code for Sultan Abdul Halim Airport, which serves Alor Setar in the Malaysian state of Kedah.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AOR Target entity description: AOR is the IATA airport code for Sultan Abdul Halim Airport, which serves Alor Setar in the Malaysian state of Kedah.
-
A.
AORI
AORI is a research institute based at the University of Tokyo’s Kashiwa Campus, known for advanced studies in ocean, climate, and earth system sciences.
-
B.
ARO
ARO is the U.S. Army Research Office, a primary Army organization that funds and manages basic scientific research to support future military technologies and capabilities.
-
C.
OAR
OAR is the commonly used abbreviation for the Oregon Administrative Rules, which comprise the codified regulations issued by Oregon’s state agencies.
-
D.
OAR
OAR is the research arm of the U.S. National Oceanic and Atmospheric Administration that advances understanding and prediction of the ocean and atmosphere.
-
E.
OAR
OAR is the commonly used acronym for the U.S. Environmental Protection Agency’s Office of Air and Radiation, which oversees national efforts to protect and improve air quality and control radiation exposure.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4918e3a88190b3c49043211840fd |
completed | March 31, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd2b996481908da33fbd95494376 |
completed | April 2, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69cece8fcbcc8190832a66287bc8f833 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecff48600819086a15700cb947056 |
completed | April 2, 2026, 8:22 p.m. |
Created at: March 30, 2026, 6:31 p.m.