Triple
T27487121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinellas Peninsula |
E693768
|
entity |
| Predicate | formsGeographicBasisFor |
P115992
|
FINISHED |
| Object | Pinellas County |
—
|
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: Pinellas County | Statement: [Pinellas Peninsula, formsGeographicBasisFor, Pinellas County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsGeographicBasisFor Context triple: [Pinellas Peninsula, formsGeographicBasisFor, Pinellas County]
-
A.
hasGeographicBasis
chosen
Indicates that something is grounded in, derived from, or defined by a particular geographic location or area.
-
B.
geographicalRepresentation
Indicates that one entity serves as a geographic depiction, model, or mapping of another entity’s location, area, or spatial characteristics.
-
C.
hasGeographicType
Indicates that an entity is associated with or classified by a specific type or category of geographic feature or area.
-
D.
componentGeography
Indicates a geographical area that forms part of, or is contained within, a larger geographic entity.
-
E.
geographicalStructure
Indicates a relationship where one entity is a physical geographic feature or formation that characterizes or shapes the spatial nature of another entity or area.
- 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 27, 2026, 1:03 p.m.