Triple
T19419527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FNI |
E485810
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object | LFTW |
E485811
|
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: LFTW | Statement: [FNI, hasICAOCode, LFTW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LFTW Context triple: [FNI, hasICAOCode, LFTW]
-
A.
LFTW
chosen
LFTW is the ICAO airport code for Nîmes-Alès-Camargue-Cévennes Airport in southern France.
-
B.
LTFJ
LTFJ is the ICAO airport code for Istanbul Sabiha Gökçen International Airport, a major international airport serving the Asian side of Istanbul, Turkey.
-
C.
FTW
FTW is the IATA airport code for Fort Worth Meacham International Airport in Fort Worth, Texas.
-
D.
FTW
FTW is the National Rail station code for Fort William railway station in the Scottish Highlands.
-
E.
LFTH
LFTH is the ICAO airport code for Toulon–Hyères Airport, a regional airport serving the Toulon area in southeastern France.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63213b6ec8190b89982b554a0f6e7 |
completed | April 20, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733d00204819099957699ba6ceb76 |
completed | May 15, 2026, 2:55 p.m. |
Created at: April 10, 2026, 1:37 p.m.