Triple
T12883119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto Metro |
E308152
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Campanhã station |
E424713
|
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: Campanhã station | Statement: [Porto Metro, hasStation, Campanhã station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campanhã station Context triple: [Porto Metro, hasStation, Campanhã station]
-
A.
Campanhã railway station
chosen
Campanhã railway station is Porto’s main intercity and regional rail hub, serving as a key gateway connecting the city to the rest of Portugal and beyond.
-
B.
Telheiras station
Telheiras station is a Lisbon Metro station serving the Telheiras neighborhood and functioning as the northern terminus of the system’s Green Line.
-
C.
St. Martins station
St. Martins station is a regional rail stop in Philadelphia, Pennsylvania, serving the Chestnut Hill West Line of SEPTA.
-
D.
La Granja station
La Granja station is a stop on Madrid Metro’s Line 4A serving the La Granja area in the city’s rapid transit network.
-
E.
La Granja station
La Granja station is a stop on Santiago, Chile’s Metro system serving the La Granja commune as part of the city’s urban rapid transit network.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fd15888190baf90fc30f2a3e25 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5556fe081909ada9d491b21b17b |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:39 p.m.