Triple
T5256855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben More (Mull) |
E118720
|
entity |
| Predicate | requiresWinterEquipmentInSnow |
P20399
|
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: [Ben More (Mull), requiresWinterEquipmentInSnow, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresWinterEquipmentInSnow Context triple: [Ben More (Mull), requiresWinterEquipmentInSnow, true]
-
A.
requiresEquipmentInWinter
chosen
Indicates that performing the related activity or fulfilling the related condition necessitates the use of specific equipment during winter.
-
B.
hasSnowAndIce
Indicates that the subject is covered with or contains both snow and ice.
-
C.
requiresFrostFreeSeason
Indicates that the subject depends on a period without frost to grow, develop, or function properly.
-
D.
hasWinterSports
Indicates that an entity offers, supports, or is associated with winter sports activities.
-
E.
winterCharacteristic
Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bcced6881909bdb7ac5471a37fe |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.