Triple
T5538528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calera de Tango |
E145228
|
entity |
| Predicate | hasSettlementCharacteristic |
P64802
|
FINISHED |
| Object | semi-rural |
—
|
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: semi-rural | Statement: [Calera de Tango, hasSettlementCharacteristic, semi-rural]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSettlementCharacteristic Context triple: [Calera de Tango, hasSettlementCharacteristic, semi-rural]
-
A.
isSettlementOf
Indicates that one entity is a settlement (such as a town, village, or city) that belongs to, is located within, or is administratively part of another entity.
-
B.
hasSettlementOnUSSide
Indicates that a settlement is located on the United States side of a border or boundary.
-
C.
hasSettlementAround
Indicates that a settlement is located in the surrounding area of a specified place or feature.
-
D.
settlementPattern
Indicates how human dwellings or communities are spatially arranged and distributed across a geographic area.
-
E.
settlementMode
Indicates the method or process by which a financial or transactional obligation is settled or completed between parties.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb2fe488190808e02ce5aabb2ad |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:35 p.m.