Triple
T29545494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chirikof Point |
E749618
|
entity |
| Predicate | geographicSignificance |
P85021
|
FINISHED |
| Object | coastal landmark |
—
|
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: coastal landmark | Statement: [Chirikof Point, geographicSignificance, coastal landmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicSignificance Context triple: [Chirikof Point, geographicSignificance, coastal landmark]
-
A.
geopoliticalSignificance
Indicates the importance or influence that a place, event, or relationship holds within regional or global political and strategic power dynamics.
-
B.
geographicRole
chosen
Indicates a relationship where one entity serves a specific geographic function, status, or role in relation to another location or area.
-
C.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
D.
isGeographicalEntity
Indicates that something exists as a distinct geographic feature, area, or place within physical space.
-
E.
hasRegionalSignificance
Indicates that something holds particular importance, influence, or relevance within a specific geographic region.
- 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 28, 2026, 5:07 p.m.