Triple
T22744270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barcelona Metro Line 2 |
E562504
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Universitat 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: Universitat station | Statement: [Barcelona Metro Line 2, hasStation, Universitat station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Universitat station Context triple: [Barcelona Metro Line 2, hasStation, Universitat station]
-
A.
Universitat station
chosen
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.
-
B.
Universitet station
Universitet station is a Moscow Metro station named after the nearby Moscow State University, serving passengers on the Sokolnicheskaya Line.
-
C.
Universitetet station
Universitetet station is a light rail stop on the Aarhus Letbane network serving the university area in Aarhus, Denmark.
-
D.
St. Martins station
St. Martins station is a regional rail stop in Philadelphia, Pennsylvania, serving the Chestnut Hill West Line of SEPTA.
-
E.
Stadtmitte station
Stadtmitte station is a central Berlin U-Bahn station serving as an important interchange point in the city’s downtown area.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797590f08190a784f73fcd27b101 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:23 p.m.