Triple
T12618385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaya Airport |
E301314
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
GAY
GAY is the IATA airport code for Gaya Airport, serving the city of Gaya in the Indian state of Bihar.
|
E992119
|
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: GAY | Statement: [Gaya Airport, IATAcode, GAY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GAY Context triple: [Gaya Airport, IATAcode, GAY]
-
A.
Gay
Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
-
B.
Keep It Gay
"Keep It Gay" is a comedic show tune from the Rodgers and Hammerstein musical *Me and Juliet*, celebrating flamboyant theatricality and lighthearted camp.
-
C.
LGB
LGB is the IATA airport code for Long Beach Airport, a public airport serving the Long Beach and greater Los Angeles area in California.
-
D.
LGB
LGB is a model railway brand best known for its large-scale "G" gauge garden trains designed for outdoor and indoor use.
-
E.
Queer
Queer is a semi-autobiographical novel by William S. Burroughs that explores themes of homosexuality, addiction, and alienation in postwar Mexico City.
- 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: GAY Triple: [Gaya Airport, IATAcode, GAY]
Generated description
GAY is the IATA airport code for Gaya Airport, serving the city of Gaya in the Indian state of Bihar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GAY Target entity description: GAY is the IATA airport code for Gaya Airport, serving the city of Gaya in the Indian state of Bihar.
-
A.
Gay
Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
-
B.
Keep It Gay
"Keep It Gay" is a comedic show tune from the Rodgers and Hammerstein musical *Me and Juliet*, celebrating flamboyant theatricality and lighthearted camp.
-
C.
LGB
LGB is the IATA airport code for Long Beach Airport, a public airport serving the Long Beach and greater Los Angeles area in California.
-
D.
LGB
LGB is a model railway brand best known for its large-scale "G" gauge garden trains designed for outdoor and indoor use.
-
E.
Queer
Queer is a semi-autobiographical novel by William S. Burroughs that explores themes of homosexuality, addiction, and alienation in postwar Mexico City.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c63ea48190ae1aae9280a023a6 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed507988190b9d46586f3c3584c |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f65fb03b248190b264230b84b17635 |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6608ec32c8190803c6f5677c300d6 |
completed | May 2, 2026, 8:37 p.m. |
Created at: April 9, 2026, 5:13 p.m.