Triple
T1509982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dibrugarh Airport |
E33991
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
DIB
DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
|
E173224
|
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: DIB | Statement: [Dibrugarh Airport, IATAcode, DIB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DIB Context triple: [Dibrugarh Airport, IATAcode, DIB]
-
A.
BMP
BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
-
B.
DNG
DNG (Digital Negative) is an open, publicly documented raw image file format developed by Adobe for long-term archival and broad compatibility of digital photographs.
-
C.
DAL
DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
-
D.
DAL
DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
-
E.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
- 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: DIB Triple: [Dibrugarh Airport, IATAcode, DIB]
Generated description
DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DIB Target entity description: DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
-
A.
BMP
BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
-
B.
DNG
DNG (Digital Negative) is an open, publicly documented raw image file format developed by Adobe for long-term archival and broad compatibility of digital photographs.
-
C.
DAL
DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
-
D.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
E.
DAL
DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8891e9da881909d0b12f1bc05863f |
completed | March 4, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad233c254c8190b52b34526c9cb3cb |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad242d20448190a27ff7414d9cff21 |
completed | March 8, 2026, 7:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad24e6e9688190a20c67c181936e98 |
completed | March 8, 2026, 7:27 a.m. |
Created at: March 4, 2026, 7:24 p.m.