Triple
T8070235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KFAT |
E188351
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object | KFAT |
E188351
|
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: KFAT | Statement: [KFAT, ICAOCode, KFAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KFAT Context triple: [KFAT, ICAOCode, KFAT]
-
A.
KFAT
chosen
KFAT is the ICAO airport code for Fresno Yosemite International Airport, a commercial airport serving Fresno, California and the surrounding Central Valley region.
-
B.
KAF
KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
-
C.
KFA
KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
-
D.
KFT
KFT is the commonly used abbreviation for KF Tirana, a prominent Albanian professional football club based in Tirana.
-
E.
Kuteb
Kuteb are an indigenous ethnic group primarily inhabiting parts of present-day Taraba State in eastern Nigeria, known for their distinct language and traditional cultural practices.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ffe29188190834ec4f71043a99d |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93e568388190a518baa0badefea4 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:27 p.m.