Triple
T34995187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun, Louisiana |
E1009506
|
entity |
| Predicate | isLocatedInGeographicArea |
P185319
|
FINISHED |
| Object | southeastern Louisiana |
—
|
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: southeastern Louisiana | Statement: [Sun, Louisiana, isLocatedInGeographicArea, southeastern Louisiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInGeographicArea Context triple: [Sun, Louisiana, isLocatedInGeographicArea, southeastern Louisiana]
-
A.
containsGeographicalArea
Indicates that one geographical area spatially encompasses or includes another geographical area within its boundaries.
-
B.
hasGeographicType
Indicates that an entity is associated with or classified by a specific type or category of geographic feature or area.
-
C.
hasGeographicalLocation
chosen
Indicates that an entity is situated in, or associated with, a specific geographical place or area.
-
D.
isLocatedInAdministrativeArea
Indicates that one entity is situated within the geographic or jurisdictional boundaries of a specified administrative area (such as a city, county, state, or region).
-
E.
geographicCriterion
Indicates that the relationship or selection is determined based on geographic factors, such as location, region, or spatial boundaries.
- 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_69f76dca50dc8190b71f39defe186be8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:01 p.m.