Triple
T4331937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loganair |
E96771
|
entity |
| Predicate | IcaoCode |
P419
|
FINISHED |
| Object | LOG |
E96771
|
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: LOG | Statement: [Loganair, IcaoCode, LOG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LOG Context triple: [Loganair, IcaoCode, LOG]
-
A.
LOG
chosen
LOG is the ICAO airline designator assigned to Loganair, a regional airline based in Scotland.
-
B.
LO
LO is the regional vehicle registration code assigned to the city of Vanadzor in Armenia.
-
C.
LO
LO is Norway’s largest and most influential trade union confederation, representing a broad spectrum of workers across multiple sectors.
-
D.
LO
LO was the New York Stock Exchange ticker symbol for Lorillard Tobacco Company, a major American tobacco manufacturer best known for brands like Newport.
-
E.
SLF
SLF is the Shuttle Landing Facility at NASA’s Kennedy Space Center, a specialized runway complex built for landing Space Shuttle orbiters and other aerospace vehicles.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514dc588819086a4c6d585c1b5b1 |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db9c1a90819083d0889a65f04af2 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:13 p.m.