Triple
T35932071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sallows |
E1039190
|
entity |
| Predicate | oftenWalkedWith |
P155897
|
FINISHED |
| Object | Capple Howe |
—
|
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: Capple Howe | Statement: [Sallows, oftenWalkedWith, Capple Howe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenWalkedWith Context triple: [Sallows, oftenWalkedWith, Capple Howe]
-
A.
walkedFor
Indicates that one entity walked on behalf of, in support of, or for the benefit of another entity or purpose.
-
B.
isOftenHikedWith
chosen
Indicates that one entity is frequently hiked together with another entity as a common companion or partner on hikes.
-
C.
walkedAheadOf
Indicates that one entity moved forward on a path or route in front of another entity, leading or preceding them in walking.
-
D.
walks
Indicates that an entity moves on foot from one place to another, typically at a regular, moderate pace.
-
E.
hasWalkingRouteType
Indicates that an entity is associated with a specific type or category of walking route (e.g., trail, path, or walking itinerary).
- 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_69f76e23e4688190a5369138755138bf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: May 3, 2026, 4:07 p.m.