Triple
T2853922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urbanos de Lisboa |
E63154
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | fertagus |
E116826
|
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: fertagus | Statement: [Urbanos de Lisboa, connectsWith, fertagus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: fertagus Context triple: [Urbanos de Lisboa, connectsWith, fertagus]
-
A.
FERT
FERT is the historic motto of the House of Savoy and the Kingdom of Italy, traditionally associated with chivalric virtue and royal authority.
-
B.
Fertagus
chosen
Fertagus is a private suburban rail operator serving the Lisbon metropolitan area, notably running commuter trains across the 25 de Abril Bridge between Lisbon and the Setúbal Peninsula.
-
C.
FÜ
FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
-
D.
Faetar
Faetar is a rare Romance language variety spoken by a small Franco-Provençal community in southern Italy, notable for preserving archaic features within an Italo-Romance environment.
-
E.
Fuhse
Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5f21348190a574fa86bc71c76f |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8e63fbc8190825317fff7538481 |
completed | March 10, 2026, 9:48 a.m. |
Created at: March 6, 2026, 10:02 p.m.