Triple
T26165045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nippletop |
E654225
|
entity |
| Predicate | oftenHikedWith |
P155897
|
FINISHED |
| Object | Dial Mountain |
—
|
NE NERFINISHED |
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: Dial Mountain | Statement: [Nippletop, oftenHikedWith, Dial Mountain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenHikedWith Context triple: [Nippletop, oftenHikedWith, Dial Mountain]
-
A.
isOftenHikedWith
chosen
Indicates that one entity is frequently hiked together with another entity as a common companion or partner on hikes.
-
B.
hikingUse
Indicates the use or engagement in hiking as an activity or means of travel.
-
C.
usuallyClimbedAs
Indicates that an object, route, or feature is most commonly or traditionally ascended in a particular style, manner, or configuration.
-
D.
hasHikingAccess
Indicates that one location or entity provides access or a connection to hiking trails or hiking areas.
-
E.
mountainRangeClimbedIn
Indicates that a particular mountain range is the location in which a climbing activity or ascent took place.
- 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 26, 2026, 8:32 p.m.