Triple
T13453078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago del Estero |
E311158
|
entity |
| Predicate | nearbyAgriculturalRegion |
P93890
|
FINISHED |
| Object | Santiago del Estero Province farmlands |
—
|
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: Santiago del Estero Province farmlands | Statement: [Santiago del Estero, nearbyAgriculturalRegion, Santiago del Estero Province farmlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyAgriculturalRegion Context triple: [Santiago del Estero, nearbyAgriculturalRegion, Santiago del Estero Province farmlands]
-
A.
nearbySettlementRegion
Indicates that a settlement is located close to or within the surrounding area of a specified region.
-
B.
locatedInAgriculturalRegion
Indicates that an entity is situated within a region primarily characterized by agricultural activities or land use.
-
C.
nearNaturalRegion
Indicates that one entity is located close to a specified natural region or area in geographic space.
-
D.
nearbyRegionCharacterizedBy
Indicates that a region located nearby another entity is defined or distinguished by a particular characteristic, feature, or condition.
-
E.
hasNearbyAgriculturalActivity
chosen
Indicates that an entity is located close enough to agricultural operations or land use for those activities to be considered relevant or influential to it.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaefae85481909e6a59797cbb25e7 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:41 p.m.