Triple
T12883120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto Metro |
E308152
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Aeroporto station |
E666697
|
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: Aeroporto station | Statement: [Porto Metro, hasStation, Aeroporto station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aeroporto station Context triple: [Porto Metro, hasStation, Aeroporto station]
-
A.
Aeroporto station
chosen
Aeroporto station is the Lisbon Metro stop that serves Lisbon Airport as the eastern terminus of the system’s Red Line.
-
B.
Flughafen station
Flughafen station is the Nuremberg U-Bahn station that serves Nuremberg Airport as the terminus of line U2.
-
C.
Hangares station
Hangares station is a Mexico City Metro station on Line 5 located near the city's airport and serving the Venustiano Carranza borough.
-
D.
Universitat station
Universitat station is a central Barcelona Metro stop located near the University of Barcelona, serving as a key transit point in the city's downtown area.
-
E.
Aeroport metro station
Aeroport metro station is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Aeroport District in the city’s north.
- 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.