Triple
T13914176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hala Pisana |
E334573
|
entity |
| Predicate | nearbyFeatureType |
P75188
|
FINISHED |
| Object | mountain trails |
—
|
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: mountain trails | Statement: [Hala Pisana, nearbyFeatureType, mountain trails]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyFeatureType Context triple: [Hala Pisana, nearbyFeatureType, mountain trails]
-
A.
nearbyFeature
Indicates that one entity is located close to or in the immediate vicinity of another entity.
-
B.
nearbyFacilityType
chosen
Indicates that a facility of a specified type is located close to a given reference entity or location.
-
C.
featureType
Indicates the specific kind or category of feature that characterizes or distinguishes an entity.
-
D.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
E.
nearbyLocation
Indicates that one location is situated close to another location in physical space.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de27245c648190b2946845ce0fdbf8 |
completed | April 14, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.