Triple
T13314473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lleida Pirineus railway station |
E317154
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Alvia |
E535883
|
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: Alvia | Statement: [Lleida Pirineus railway station, servedBy, Alvia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvia Context triple: [Lleida Pirineus railway station, servedBy, Alvia]
-
A.
Aventra
Aventra is a family of modern electric multiple-unit trains designed and built by Bombardier Transportation (now Alstom) for use on the UK rail network.
-
B.
Voyager trains
Voyager trains are a family of high-speed diesel-electric multiple unit passenger trains widely used on intercity services in the UK rail network.
-
C.
Talgo 350
The Talgo 350 is a high-speed electric train developed by Spanish manufacturer Talgo, designed for very fast intercity services and widely used on premium high-speed rail lines.
-
D.
Arriva
Arriva is a major European public transport company that operates bus, coach, train, tram, and waterbus services across multiple countries.
-
E.
Renfe Alvia
chosen
Renfe Alvia is a Spanish long-distance high-speed train service operated by Renfe that combines standard and variable-gauge rolling stock to connect major cities across both high-speed and conventional rail lines.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f8a86481909ea2942c63037b77 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716ec2ec08190a6e37795b422fe71 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:29 p.m.