Triple
T15551434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budapest tram network |
E370752
|
entity |
| Predicate | usesRollingStock |
P5426
|
FINISHED |
| Object | CAF Urbos 3 |
E247343
|
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: CAF Urbos 3 | Statement: [Budapest tram network, usesRollingStock, CAF Urbos 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAF Urbos 3 Context triple: [Budapest tram network, usesRollingStock, CAF Urbos 3]
-
A.
CAF Urbos 3
chosen
The CAF Urbos 3 is a modern low-floor light rail tram model built by Spanish manufacturer CAF and used in various urban tram systems worldwide.
-
B.
CAF Urbos 3 trams
CAF Urbos 3 trams are modern low-floor light rail vehicles manufactured by CAF and used in urban tram and light rail systems worldwide.
-
C.
Metrocars
Metrocars are the electric multiple unit trains specifically designed and used for passenger services on the Tyne and Wear Metro system in North East England.
-
D.
ES64F
ES64F is a high-power electric freight locomotive model from Siemens’ EuroSprinter family, designed for heavy-duty rail operations in Europe.
-
E.
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9551288190a583e8291c35f521 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4560008c81908ebd278c3dc45045 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:08 a.m.