Triple
T7505464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapel Falls |
E177375
|
entity |
| Predicate | hasSurfaceTypeOnTrail |
P1242
|
FINISHED |
| Object | forest trail |
—
|
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: forest trail | Statement: [Chapel Falls, hasSurfaceTypeOnTrail, forest trail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurfaceTypeOnTrail Context triple: [Chapel Falls, hasSurfaceTypeOnTrail, forest trail]
-
A.
hasTrailType
Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
-
B.
surfaceType
chosen
Indicates the kind or classification of surface associated with an entity or interaction.
-
C.
hasNearbyTrailType
Indicates that one entity has another entity of a specified trail type located in close proximity to it.
-
D.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
E.
hasTrailFeature
Indicates that a trail possesses or is characterized by a specific feature or attribute.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b5fcd88190ab4ab0ba96a6aa4b |
completed | March 27, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:44 p.m.