Triple
T21184483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 04R/22L |
E522043
|
entity |
| Predicate | hasICAOAirport |
P419
|
FINISHED |
| Object | LFMN |
—
|
NE NERFINISHED |
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: LFMN | Statement: [Runway 04R/22L, hasICAOAirport, LFMN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LFMN Context triple: [Runway 04R/22L, hasICAOAirport, LFMN]
-
A.
LFMN
chosen
LFMN is the ICAO airport code for Nice Côte d’Azur Airport, a major international airport serving Nice and the French Riviera in southeastern France.
-
B.
FLMF
FLMF is the ICAO airport code for Mfuwe Airport in Zambia, which serves as a key gateway to the South Luangwa National Park.
-
C.
LFMK
LFMK is the ICAO airport code for Carcassonne Airport in southern France, which serves the city of Carcassonne and the surrounding Occitanie region.
-
D.
LFML
LFML is the ICAO airport code for Marseille Provence Airport, a major international airport serving the city of Marseille and the Provence region in southern France.
-
E.
LFMT
LFMT is the ICAO airport code for Montpellier–Méditerranée Airport, a regional international airport serving the city of Montpellier in southern France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e730205ce88190b0bb33003295d6e7 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:06 p.m.