Triple
T14805616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Salles |
E348026
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Central Station |
E350561
|
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: Central Station | Statement: [Walter Salles, notableWork, Central Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Station Context triple: [Walter Salles, notableWork, Central Station]
-
A.
Central Station
chosen
Central Station is a 1998 Brazilian drama film by Walter Salles that follows the emotional journey of a retired schoolteacher and a young boy traveling across Brazil in search of his father.
-
B.
Central Station
Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
-
C.
Central Station
Central Station was the original name of Lisbon’s historic Rossio railway station, a key 19th-century rail hub known for its distinctive Neo-Manueline architecture.
-
D.
Central Station
Central Station is Sydney’s largest and busiest railway hub, serving as a major interchange for suburban, intercity, and light rail services.
-
E.
Central Station
Central Station is a key elevated stop on Jacksonville’s automated Skyway people mover system in downtown Jacksonville, Florida.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c6b3008190a0fac1dace40361a |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:34 a.m.