Triple
T5065438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junipero Serra Peak |
E114131
|
entity |
| Predicate | hasSummitFeatures |
P8666
|
FINISHED |
| Object | fire lookout site (historical) |
—
|
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: fire lookout site (historical) | Statement: [Junipero Serra Peak, hasSummitFeatures, fire lookout site (historical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSummitFeatures Context triple: [Junipero Serra Peak, hasSummitFeatures, fire lookout site (historical)]
-
A.
hasSummitFeature
chosen
Indicates that a summit (or peak) possesses a particular characteristic, attribute, or notable feature.
-
B.
hasSummit
Indicates that one entity possesses, features, or includes a summit or highest point as part of its structure or characteristics.
-
C.
hasSummitFacility
Indicates that one entity possesses or provides a facility or infrastructure located at the summit of another entity (such as a mountain, hill, or peak).
-
D.
hasSummitTrail
Indicates that there exists a trail or route leading to the summit or highest point of a geographic feature.
-
E.
hasSummitConditions
Indicates that specific environmental or situational conditions required for a summit (e.g., peak ascent or high-level meeting) are present or satisfied.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7478f7988190bc0473e8af055147 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.