Triple
T32529357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Miranda |
E831403
|
entity |
| Predicate | atravessa |
P416
|
FINISHED |
| Object | Pantanal |
—
|
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: Pantanal | Statement: [Rio Miranda, atravessa, Pantanal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: atravessa Context triple: [Rio Miranda, atravessa, Pantanal]
-
A.
crossingOf
Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
-
B.
across
Indicates a spatial relationship where one entity is on the opposite side of, or extending from one side to the other side of, another entity or area.
-
C.
crossedBy
chosen
Indicates that one entity (typically a path, line, or boundary) is intersected or traversed by another entity.
-
D.
crossedByTunnel
Indicates that one entity (typically a barrier like a mountain, river, or road) is traversed or passed through by another entity via a tunnel.
-
E.
transiting
Indicates that an entity is in the process of passing through, across, or between locations or states, typically as part of a journey or transfer.
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c51ad3888190b22cb1a2c121785a |
completed | May 3, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:01 a.m.