Triple
T24427575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiburon Peninsula |
E615902
|
entity |
| Predicate | formsGeographicFeature |
P53641
|
FINISHED |
| Object | Gulf of Gonâve |
—
|
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: Gulf of Gonâve | Statement: [Tiburon Peninsula, formsGeographicFeature, Gulf of Gonâve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsGeographicFeature Context triple: [Tiburon Peninsula, formsGeographicFeature, Gulf of Gonâve]
-
A.
refersToGeographicFeature
chosen
Indicates that one entity makes reference to, denotes, or is associated with a specific geographic feature such as a landform, body of water, or other physical location.
-
B.
shareGeologicalFeature
Indicates that two or more entities have a geological feature in common, such as sharing the same type, structure, or formation.
-
C.
physicalFeature
Indicates that one entity possesses or exhibits a particular physical characteristic or attribute.
-
D.
geographicalNature
Indicates the natural geographic characteristics or physical landscape type associated with a place or region.
-
E.
politicalFeature
Indicates that an entity possesses a political characteristic, attribute, or aspect relevant to governance, power structures, or public policy.
- 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a84c848190bce2c004a667dbe7 |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:15 a.m.