Triple
T12883113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto Metro |
E308152
|
entity |
| Predicate | hasRollingStock |
P1305
|
FINISHED |
| Object | Eurotram |
E341678
|
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: Eurotram | Statement: [Porto Metro, hasRollingStock, Eurotram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eurotram Context triple: [Porto Metro, hasRollingStock, Eurotram]
-
A.
Alstom Eurotram
chosen
The Alstom Eurotram is a distinctive low-floor light rail vehicle known for its sleek, modern design and panoramic windows, widely used on urban tram networks in Europe.
-
B.
X'Trapolis EMU
The X'Trapolis EMU is a modern electric multiple unit train used for suburban passenger services on Melbourne’s metropolitan rail network.
-
C.
Francilien EMU
The Francilien EMU is a modern electric multiple-unit train used for suburban and regional passenger services in the Île-de-France (Greater Paris) area.
-
D.
Alstom Citadis tram
The Alstom Citadis tram is a family of modern low-floor light rail vehicles widely used in urban tram networks around the world.
-
E.
TGV Sud-Est trainset
The TGV Sud-Est trainset is the original high-speed electric multiple unit used on France’s pioneering TGV services, known for inaugurating high-speed rail in the country in the early 1980s.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fd15888190baf90fc30f2a3e25 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5556fe081909ada9d491b21b17b |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:39 p.m.