Triple
T12489098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikwuano |
E298514
|
entity |
| Predicate | hasLocalGovernmentAreaCode |
P47979
|
FINISHED |
| Object |
LGA-IKW
LGA-IKW is the official local government area code assigned to Ikwuano in Abia State, Nigeria.
|
E986032
|
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: LGA-IKW | Statement: [Ikwuano, hasLocalGovernmentAreaCode, LGA-IKW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LGA-IKW Context triple: [Ikwuano, hasLocalGovernmentAreaCode, LGA-IKW]
-
A.
LGA
LGA is the three-letter IATA airport code for LaGuardia Airport, a major commercial airport serving New York City.
-
B.
IKW
IKW is the commonly used abbreviation for the Institute of Cognitive Science, a research and teaching institution focused on the interdisciplinary study of mind and cognition.
-
C.
ILG
ILG is the FAA location identifier for Wilmington Airport, a public airport serving the Wilmington, Delaware area.
-
D.
KLA
KLA is an ethnic Albanian paramilitary organization that fought for Kosovo’s independence from Serbia in the late 1990s.
-
E.
KLA
KLA is the commonly used abbreviation for the Karnataka Legislative Assembly, the lower house of the state legislature in Karnataka, India.
- 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: LGA-IKW Triple: [Ikwuano, hasLocalGovernmentAreaCode, LGA-IKW]
Generated description
LGA-IKW is the official local government area code assigned to Ikwuano in Abia State, Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LGA-IKW Target entity description: LGA-IKW is the official local government area code assigned to Ikwuano in Abia State, Nigeria.
-
A.
LGA
LGA is the three-letter IATA airport code for LaGuardia Airport, a major commercial airport serving New York City.
-
B.
IKW
IKW is the commonly used abbreviation for the Institute of Cognitive Science, a research and teaching institution focused on the interdisciplinary study of mind and cognition.
-
C.
ILG
ILG is the FAA location identifier for Wilmington Airport, a public airport serving the Wilmington, Delaware area.
-
D.
KLA
KLA is an ethnic Albanian paramilitary organization that fought for Kosovo’s independence from Serbia in the late 1990s.
-
E.
KLA
KLA is the commonly used abbreviation for the Karnataka Legislative Assembly, the lower house of the state legislature in Karnataka, India.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de1db9481909ddf70eb81cdb714 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64ba7d8bc8190acc1f0d537a5bbbb |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c7c5d04819094fcbee0a4b5cbb4 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64d653b988190b11d061f55ef7192 |
completed | May 2, 2026, 7:15 p.m. |
Created at: April 8, 2026, 9:56 p.m.