Triple
T10742153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMB bus network |
E253352
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | TramBaix |
E871767
|
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: TramBaix | Statement: [TMB bus network, connectsWith, TramBaix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TramBaix Context triple: [TMB bus network, connectsWith, TramBaix]
-
A.
TramBaix
chosen
TramBaix is a tram network serving the Baix Llobregat area of the Barcelona metropolitan region in Catalonia, Spain.
-
B.
TRAM Besòs
TRAM Besòs is a modern tram network serving the Besòs area of Barcelona and its metropolitan surroundings as part of the city’s light rail system.
-
C.
Trambesòs
Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
-
D.
Berguedà
Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
-
E.
Camí de Quart
Camí de Quart is a historic road that connected the city of Valencia with the nearby town of Quart de Poblet in Spain.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710456ec88190ad8aff8804d13aa9 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22fc13b0819098caf88328397053 |
completed | April 14, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:15 p.m.