Triple
T6014966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin |
E133927
|
entity |
| Predicate | network |
P2637
|
FINISHED |
| Object | Antena 3 |
E114995
|
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: Antena 3 | Statement: [Berlin, network, Antena 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antena 3 Context triple: [Berlin, network, Antena 3]
-
A.
Antena 3
chosen
Antena 3 is a major Spanish free-to-air television channel known for broadcasting popular series and entertainment programs.
-
B.
RTVE
RTVE (Radiotelevisión Española) is Spain’s national public broadcasting corporation, operating multiple television, radio, and online services.
-
C.
Granada Television
Granada Television was a major British television production and broadcasting company, best known for creating influential programs such as Coronation Street and for serving the ITV network in the north of England.
-
D.
Canal 13
Canal 13 is a major Chilean free-to-air television network known for its news, entertainment, and long-running programming.
-
E.
Chilevisión
Chilevisión is a major Chilean free-to-air television network known for its news, entertainment, and sports programming.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f80ec108190ae9711727debb061 |
completed | March 22, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108ade3948190994fbaa2a5539216 |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:06 p.m.