Triple
T36874075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Agrio crater |
E911296
|
entity |
| Predicate | nearBorderLocality |
P68061
|
FINISHED |
| Object | Neuquén 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: Neuquén Province | Statement: [El Agrio crater, nearBorderLocality, Neuquén Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearBorderLocality Context triple: [El Agrio crater, nearBorderLocality, Neuquén Province]
-
A.
nearBorderBetween
Indicates that something is located close to the dividing line or boundary shared between two adjacent areas or regions.
-
B.
nearStateBorderWith
Indicates that one entity is located close to the state border shared with another specified state or region.
-
C.
nearBorderDirection
Indicates that one entity is located close to a border or boundary in a specified directional orientation relative to that border.
-
D.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
E.
hasNeighbouringLocality
chosen
Indicates that one locality is geographically adjacent to or directly borders another locality.
- 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fefb15220081908da36aac386fa582 |
completed | May 9, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69fefa8e8ad48190a723fed81e9d64d0 |
completed | May 9, 2026, 9:12 a.m. |
Created at: May 3, 2026, 4:13 p.m.