Triple
T138450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tioga Pass |
E2798
|
entity |
| Predicate | seasonalStatus |
P955
|
FINISHED |
| Object | typically closed in winter due to snow |
—
|
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: typically closed in winter due to snow | Statement: [Tioga Pass, seasonalStatus, typically closed in winter due to snow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalStatus Context triple: [Tioga Pass, seasonalStatus, typically closed in winter due to snow]
-
A.
hasSeasonalPattern
chosen
Indicates that the occurrence, intensity, or characteristics of something regularly vary according to a recurring seasonal cycle.
-
B.
season
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
-
C.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
D.
isPopularSeason
Indicates that a particular season is widely liked, favored, or enjoyed by many people.
-
E.
floweringSeason
Indicates the time period during which a plant typically produces flowers.
- F. None of above.
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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a800148190be119d1d075869b8 |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25652efdc8190b85b33735a9e6370 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.