Triple
T6574976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renmark |
E155537
|
entity |
| Predicate | foundedAsIrrigationSettlement |
P71937
|
FINISHED |
| Object | 1887 |
—
|
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: 1887 | Statement: [Renmark, foundedAsIrrigationSettlement, 1887]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsIrrigationSettlement Context triple: [Renmark, foundedAsIrrigationSettlement, 1887]
-
A.
earliestPermanentSettlement
Indicates that one entity is the location or instance of the first long-term, continuously inhabited settlement associated with another entity.
-
B.
riverineSettlement
Indicates that a settlement is located on or closely associated with the banks or course of a river.
-
C.
hadPrimarySettlementPattern
Indicates that an entity exhibited or was characterized by a particular dominant form or arrangement of human settlement.
-
D.
hasRiverValleyAgriculture
Indicates that agriculture is practiced within or along a river valley, utilizing the valley’s river-related resources and conditions.
-
E.
originalSettlement
Indicates that one entity is the initial or first-established settlement location associated with another entity.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 1:53 p.m.