Triple
T22995834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrô do Recife |
E572186
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Camaragibe Station |
—
|
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: Camaragibe Station | Statement: [Metrô do Recife, hasStation, Camaragibe Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camaragibe Station Context triple: [Metrô do Recife, hasStation, Camaragibe Station]
-
A.
Camaragibe Station
chosen
Camaragibe Station is a terminal station on the Recife Metro system in the metropolitan region of Recife, Brazil.
-
B.
Cajueiro Seco Station
Cajueiro Seco Station is a terminal station on the Recife Metro system in the Recife metropolitan area of Brazil.
-
C.
San Miguelito station
San Miguelito station is a major interchange stop in the Panama Metro system, serving as a key transfer point between Line 1 and Line 2 in the San Miguelito district of Panama City.
-
D.
Angamos station
Angamos station is a passenger stop on Line 1 of the Lima Metro system in Lima, Peru.
-
E.
Bolívar station
Bolívar station is a stop on the Buenos Aires Underground (Subte) network, serving Line E in the historic center of Argentina’s capital.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f3186c81909e0d5177029a72ae |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.