Triple
T37991788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Nicolas District |
E947836
|
entity |
| Predicate | hasGeographicalArea |
P78492
|
FINISHED |
| Object | territory surrounding San Nicolas locality |
—
|
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: territory surrounding San Nicolas locality | Statement: [San Nicolas District, hasGeographicalArea, territory surrounding San Nicolas locality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeographicalArea Context triple: [San Nicolas District, hasGeographicalArea, territory surrounding San Nicolas locality]
-
A.
containsGeographicalArea
chosen
Indicates that one geographical area spatially encompasses or includes another geographical area within its boundaries.
-
B.
hasGeographicalLocation
Indicates that an entity is situated in, or associated with, a specific geographical place or area.
-
C.
hasGeographicType
Indicates that an entity is associated with or classified by a specific type or category of geographic feature or area.
-
D.
hasNearbyGeographicalArea
Indicates that one geographical area is located in close spatial proximity to another geographical area.
-
E.
geographicAreaOfSupport
Indicates the geographic region or area within which support, assistance, or services are provided or applicable.
- 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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
Created at: May 3, 2026, 4:20 p.m.