Triple
T2603840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LS |
E58608
|
entity |
| Predicate | airlineSecondaryBaseAirportCode |
P40597
|
FINISHED |
| Object | GLA |
E225784
|
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: GLA | Statement: [LS, airlineSecondaryBaseAirportCode, GLA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GLA Context triple: [LS, airlineSecondaryBaseAirportCode, GLA]
-
A.
GLA
chosen
GLA is the three-letter IATA airport code for Glasgow Airport, the main international airport serving Glasgow, Scotland.
-
B.
Gla
Gla is a large fortified Mycenaean archaeological site in Boeotia, Greece, notable for its massive walls and strategic position overlooking the former Lake Kopais.
-
C.
GCLA
GCLA is the ICAO airport code for La Palma Airport in Spain’s Canary Islands.
-
D.
Agly
The Agly is a river in southern France that flows through the Occitanie region before emptying into the Mediterranean Sea.
-
E.
GLT
GLT is the National Rail station code for Glenrothes with Thornton railway station in Fife, Scotland.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdd1ca0248190aa15f80b2798524e |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83d6daa4819087ee111e648ce71d |
completed | March 10, 2026, 2:37 a.m. |
Created at: March 6, 2026, 9:49 p.m.