Triple
T34069377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universitat station |
E873721
|
entity |
| Predicate | laterServedByLine |
P90369
|
FINISHED |
| Object | Barcelona Metro line L2 |
—
|
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: Barcelona Metro line L2 | Statement: [Universitat station, laterServedByLine, Barcelona Metro line L2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterServedByLine Context triple: [Universitat station, laterServedByLine, Barcelona Metro line L2]
-
A.
laterServedBy
chosen
Indicates that one entity is subsequently served or provided service by another entity at a later time.
-
B.
laterServedIn
Indicates that one entity subsequently held a service position or role in which another entity had previously served.
-
C.
servesLineSince
Indicates that a transportation service or route has been operating on a particular line since a specified point in time.
-
D.
servedByLine
Indicates that a transportation stop, station, or location is provided service by a specific transit line.
-
E.
laterServedWith
Indicates that one entity was served or presented after another entity, in a subsequent course or sequence.
- F. None of above.
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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0017dd31d08190aa5e9f72df83733a |
completed | May 10, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_6a0015a1deb88190b9cdaa60455b0a33 |
completed | May 10, 2026, 5:20 a.m. |
Created at: May 1, 2026, 1:52 a.m.