Triple
T29134783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creston South |
E738482
|
entity |
| Predicate | hasPrimaryEconomicRegion |
P1027
|
FINISHED |
| Object | Burin Peninsula |
—
|
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: Burin Peninsula | Statement: [Creston South, hasPrimaryEconomicRegion, Burin Peninsula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryEconomicRegion Context triple: [Creston South, hasPrimaryEconomicRegion, Burin Peninsula]
-
A.
hasMajorEconomicRegion
chosen
Indicates that an entity includes, is associated with, or is part of a primary or significant economic region within a larger economic or geographic context.
-
B.
servesEconomicRegion
Indicates that an entity provides services, support, or functions that benefit or are directed toward a particular economic region.
-
C.
isMajorEconomicAreaFor
Indicates that a location or region serves as a primary center of significant economic activity for a specified entity or sector.
-
D.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
E.
hasImportantEconomicZoneIn
Indicates that an entity possesses or controls a significant economic zone or area within the specified location.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69ff46afe7e481908f2862ed11c88db2 |
completed | May 9, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69ff45e9151881909c444a655e852165 |
completed | May 9, 2026, 2:34 p.m. |
Created at: April 28, 2026, 11:33 a.m.