Triple
T16258504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wachusett Mountain Ski Area |
E394690
|
entity |
| Predicate | hasLockers |
P122390
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Wachusett Mountain Ski Area, hasLockers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLockers Context triple: [Wachusett Mountain Ski Area, hasLockers, true]
-
A.
hasHomeLockerRoomFor
Indicates that one entity serves as the designated home locker room facility for another entity, such as a team or organization.
-
B.
hasLockNumber
Indicates that an entity is associated with a specific lock identified by a number.
-
C.
hasClerk
Indicates that an entity is served, assisted, or managed by a clerk associated with it.
-
D.
usesLockSystem
Indicates that one entity employs or relies on a locking mechanism or lock-based system provided by another entity.
-
E.
hasLocksAt
Indicates that one entity possesses or provides locks that are located at or associated with a specific place or position of another entity.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c1fa208190995feaeba766b45f |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:04 a.m.