Triple
T19239058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza Huincul |
E481080
|
entity |
| Predicate | originOfSettlement |
P135306
|
FINISHED |
| Object | oil camp |
—
|
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: oil camp | Statement: [Plaza Huincul, originOfSettlement, oil camp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originOfSettlement Context triple: [Plaza Huincul, originOfSettlement, oil camp]
-
A.
originalSettlement
Indicates that one entity is the initial or first-established settlement location associated with another entity.
-
B.
originalSettlementName
Indicates the name by which a settlement was originally known before any later renaming or reclassification.
-
C.
primarySettlementOrigin
Indicates that one settlement is the main or original source from which another settlement was founded or developed.
-
D.
mainSettlement
Indicates that one settlement serves as the primary or most important settlement associated with a given area, region, or administrative unit.
-
E.
hadPrimarySettlementPattern
Indicates that an entity exhibited or was characterized by a particular dominant form or arrangement of human settlement.
- F. None of above. chosen
Provenance (4 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faef827c81909157bbcd4060dfc9 |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4debc39ac81908b7c5ef797046360 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 1:26 p.m.