Triple
T24531896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Route 81 (Argentina) |
E606830
|
entity |
| Predicate | terminusProvinceWest |
P156627
|
FINISHED |
| Object | Salta Province |
—
|
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: Salta Province | Statement: [National Route 81 (Argentina), terminusProvinceWest, Salta Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminusProvinceWest Context triple: [National Route 81 (Argentina), terminusProvinceWest, Salta Province]
-
A.
terminusProvinceEast
Indicates that something’s eastern endpoint or terminus lies within a particular province.
-
B.
terminusWestCountry
Indicates that something serves as the western endpoint or final stop of a route, line, or connection within the West Country region.
-
C.
terminusCityWest
Indicates that a route, line, or service has its western terminus located in the specified city.
-
D.
westernTerminusDetail
Indicates the specific endpoint location or characteristics associated with the western terminus of a route or linear feature.
-
E.
westernTerminusNear
Indicates that the western endpoint of one entity is located close to 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:25 a.m.