Triple
T22551497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocha Department |
E557567
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Rocha |
—
|
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: Rocha | Statement: [Rocha Department, capital, Rocha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocha Context triple: [Rocha Department, capital, Rocha]
-
A.
Rocha
Rocha is a Portuguese-origin surname common in Lusophone countries and among their diasporas.
-
B.
Rocha
chosen
Rocha is a coastal department in southeastern Uruguay known for its beaches, lagoons, and ecotourism.
-
C.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
-
D.
Marromeu
Marromeu is a town and district in central Mozambique known for its location along the Zambezi River and proximity to the Marromeu Buffalo Reserve.
-
E.
Costa Alegre
Costa Alegre is a scenic stretch of Mexico’s Pacific coastline in Jalisco known for its secluded beaches, luxury resorts, and unspoiled natural beauty.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7647208190a1aaebd083bf095a |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.