Triple
T35292225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiles volcano |
E1019258
|
entity |
| Predicate | nearBorderTown |
P27684
|
FINISHED |
| Object | Tulcán |
—
|
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: Tulcán | Statement: [Chiles volcano, nearBorderTown, Tulcán]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearBorderTown Context triple: [Chiles volcano, nearBorderTown, Tulcán]
-
A.
nearBorderBetween
Indicates that something is located close to the dividing line or boundary shared between two adjacent areas or regions.
-
B.
nearBorderCrossing
chosen
Indicates that an entity is located close to a border crossing point between two regions or countries.
-
C.
isInBorderTown
Indicates that an entity is located in a town situated on or very near a political or geographic border.
-
D.
nearStateBorderWith
Indicates that one entity is located close to the state border shared with another specified state or region.
-
E.
nearInternationalBoundary
Indicates that one entity is located close to an international boundary separating two or more countries.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fea5e828cc8190a9b755a645dc56d2 |
completed | May 9, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69fea36443f08190b2aced9b4a0525fd |
completed | May 9, 2026, 3 a.m. |
Created at: May 3, 2026, 4:03 p.m.