Triple
T10574819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 4 (Barcelona Metro) |
E249580
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Jaume I station |
E858724
|
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: Jaume I station | Statement: [Line 4 (Barcelona Metro), hasStation, Jaume I station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaume I station Context triple: [Line 4 (Barcelona Metro), hasStation, Jaume I station]
-
A.
Jaume I metro station
chosen
Jaume I metro station is a Barcelona Metro stop on line L4 located in the historic city center near the Gothic Quarter and El Born.
-
B.
Catalunya station
Catalunya station is a major central transport hub in Barcelona that connects metro, commuter rail, and regional train services beneath Plaça de Catalunya.
-
C.
Martínez Nadal station
Martínez Nadal station is a rapid transit stop on the Tren Urbano system serving the San Juan metropolitan area in Puerto Rico.
-
D.
Palau Reial station
Palau Reial station is a Barcelona Metro stop located near the Palau Reial de Pedralbes and the university area in the Les Corts district.
-
E.
La Sagrera station
La Sagrera station is a major multimodal transport hub in Barcelona that connects several metro lines and commuter rail services in the northeastern part of the city.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52749dda08190b0c9627a931c5848 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e215e3c3c88190833c1f56288629a2 |
completed | April 17, 2026, 11:13 a.m. |
Created at: April 6, 2026, 12:38 p.m.