Triple
T5958080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zêzere River |
E132565
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Fundão |
E374149
|
NE 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: Fundão | Statement: [Zêzere River, flowsThrough, Fundão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fundão Context triple: [Zêzere River, flowsThrough, Fundão]
-
A.
Fundão
chosen
Fundão is a municipality in central Portugal known for its agricultural production, particularly cherries, and its growing role as a regional technology and innovation hub.
-
B.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
C.
Mauá
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
-
D.
Panarima
Panarima is a musical track featured on the album "Legend of the Sun Virgin."
-
E.
Pirassununga
Pirassununga is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and as a site of a major University of São Paulo campus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039c48d0c81908e794c52fddf2ca2 |
completed | March 22, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3e3736c8190b445156f0c1bdf1f |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:02 p.m.