Triple
T37829033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | río Pastaza |
E943144
|
entity |
| Predicate | cuenca |
P189255
|
FINISHED |
| Object | cuenca del Amazonas |
—
|
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: cuenca del Amazonas | Statement: [río Pastaza, cuenca, cuenca del Amazonas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cuenca Context triple: [río Pastaza, cuenca, cuenca del Amazonas]
-
A.
имаКамбанария
Indicates that a building or structure possesses a bell tower as one of its architectural features.
-
B.
canton
Indicates that an entity is administratively located within, belongs to, or is governed as part of a specific canton.
-
C.
inComarca
Indicates that one entity is located within or belongs to the jurisdiction or territory of a specific comarca (administrative district or region).
-
D.
andraChansenCity
Indicates that a given city is the location where the "Andra Chansen" (Second Chance) round of a competition takes place.
-
E.
נחשב
Indicates that something or someone is regarded, considered, or deemed to have a certain status, quality, or classification.
- 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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbae3fc508190adff3d7abbf107a4 |
completed | May 6, 2026, 10:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.