Triple
T11040402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMB 6000 series |
E260997
|
entity |
| Predicate | hasOperator |
P179
|
FINISHED |
| Object | TMB |
E878171
|
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: TMB | Statement: [TMB 6000 series, hasOperator, TMB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMB Context triple: [TMB 6000 series, hasOperator, TMB]
-
A.
TMB
TMB is the commonly used abbreviation for the Technical Management Board, a governing body that oversees and coordinates technical and standardization activities within its organization.
-
B.
TMB
chosen
TMB is the main public transportation operator in the Barcelona metropolitan area, managing the city’s metro and bus networks.
-
C.
TMB App
TMB App is the official mobile application for Barcelona’s public transport network, providing route planning, real-time information, and ticketing services for metro, bus, and other transit options.
-
D.
TMB 2000 series
The TMB 2000 series is a class of electric multiple unit trains used on the Barcelona Metro, designed for high-capacity urban rapid transit service.
-
E.
TMB 7000 series
The TMB 7000 series is a class of modern electric multiple unit trains used on the Barcelona Metro network.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797ff519481909ebc2515b3d241de |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9d61b548190949f0dfbcb782064 |
completed | April 18, 2026, 3:57 p.m. |
Created at: April 8, 2026, 9:26 p.m.