Triple
T2147752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 2 (Geneva Airport) |
E47106
|
entity |
| Predicate | openingSeason |
P36614
|
FINISHED |
| Object | winter season (primarily) |
—
|
LITERAL 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: winter season (primarily) | Statement: [Terminal 2 (Geneva Airport), openingSeason, winter season (primarily)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingSeason Context triple: [Terminal 2 (Geneva Airport), openingSeason, winter season (primarily)]
-
A.
openSeason
Indicates that a period has begun during which a particular activity (such as hunting, fishing, or competition) is officially allowed or actively underway.
-
B.
startSeason
Indicates the point in time or event at which a particular season begins.
-
C.
expansionSeason
Indicates the season or time period during which an expansion (such as growth, enlargement, or extension of something) takes place.
-
D.
openingMatch
Indicates that one entity serves as the initial or first match, game, or contest in a series, event, or competition involving another entity.
-
E.
inauguralSeason
Indicates the first season in which an entity (such as a team, league, or event) officially began participating or operating.
- F. None of above. chosen
Provenance (4 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeaa14bc81908486683decd7ae42 |
completed | March 7, 2026, 5:59 a.m. |
| PD | Predicate disambiguation | batch_69abbd9846e88190b6c2941dd9ce7749 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbea8bd4881908f72019a5acf6174 |
completed | March 7, 2026, 5:59 a.m. |
Created at: March 4, 2026, 7:44 p.m.