Triple
T12007148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CP Alfa Pendular |
E285808
|
entity |
| Predicate | safetySystem |
P840
|
FINISHED |
| Object | CONVEL |
E285811
|
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: CONVEL | Statement: [CP Alfa Pendular, safetySystem, CONVEL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CONVEL Context triple: [CP Alfa Pendular, safetySystem, CONVEL]
-
A.
CONVEL
chosen
CONVEL is a train control and safety system used on Portugal’s high-speed Alfa Pendular services to monitor and protect train operations.
-
B.
CONV
CONV is the station code for Convention Center Station, a public transit stop typically serving a nearby convention or exhibition center.
-
C.
Concanen
Concanen is a surname most notably associated with R. Luke Concanen, an Irish-born Roman Catholic bishop and the first Bishop of New York in the early 19th century.
-
D.
Grocon
Grocon is a major Australian construction and development company known for delivering large-scale commercial and residential projects.
-
E.
Confolens
Confolens is a small historic town in southwestern France known for its picturesque medieval architecture and annual international folklore festival.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c5cfc08190821e4b2940c51416 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b1570208190a08c64e028f67d81 |
completed | May 1, 2026, 11:14 a.m. |
Created at: April 8, 2026, 9:46 p.m.