Triple
T10742205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRAM Besòs |
E253354
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | T6 |
E253349
|
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: T6 | Statement: [TRAM Besòs, hasLine, T6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T6 Context triple: [TRAM Besòs, hasLine, T6]
-
A.
T6
T6 is a tram line serving the Lyon metropolitan area, providing urban light-rail transit through Villeurbanne and neighboring districts.
-
B.
T6
chosen
T6 is a tram line within the Trambesòs light rail network serving the Barcelona metropolitan area.
-
C.
D6
D6 is the commonly used abbreviation for District 6, a designated administrative or electoral subdivision within a larger governmental or organizational structure.
-
D.
T4
T4 is one of the lines of the Athens tram system, providing urban light-rail service across part of the Athens metropolitan area.
-
E.
T4
T4 is a tram line serving the city of Villeurbanne as part of the Lyon metropolitan public transport network in France.
- 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.