Triple
T13058533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnstable Municipal Airport |
E327642
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object | KHYA |
E327642
|
NE FINISHED |
How this triple was built (2 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: KHYA | Statement: [Barnstable Municipal Airport, ICAO code, KHYA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KHYA Context triple: [Barnstable Municipal Airport, ICAO code, KHYA]
-
A.
KHYA
chosen
KHYA is the ICAO airport code for Barnstable Municipal Airport, a public airport serving Hyannis on Cape Cod, Massachusetts.
-
B.
Kehlani
Kehlani is an American R&B singer, songwriter, and performer known for her emotive vocals, candid lyricism, and genre-blending projects like the mixtape "You Should Be Here" and the album "SweetSexySavage."
-
C.
Mya
Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
-
D.
Kyla
Kyla is a British R&B singer best known internationally for her vocals on Drake’s hit single “One Dance.”
-
E.
Kyla
Kyla is a feminine given name used in various English-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5ff8c308190a40274c68a1c5da3 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:58 p.m.