Triple
T15744357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esenboğa International Airport |
E381682
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object | LTAC |
E381683
|
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: LTAC | Statement: [Esenboğa International Airport, hasICAOCode, LTAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LTAC Context triple: [Esenboğa International Airport, hasICAOCode, LTAC]
-
A.
LTAC
chosen
LTAC is the ICAO airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
-
B.
TAC
TAC is the commonly used abbreviation for Tartu Art College, an Estonian institution of higher education specializing in art and design.
-
C.
TAC
TAC is the commonly used abbreviation for The Athletic Congress, the former governing body for track and field in the United States.
-
D.
LTAU
LTAU is the ICAO airport code for Kayseri Erkilet Airport, a civil-military airport serving the city of Kayseri in central Turkey.
-
E.
LAC
LAC is the standard abbreviation for the La Crosse Loggers baseball team.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502c0c3c8190b8e512df307039c1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8307824881909ba85e4c3da65d28 |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.