Triple
T28491068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portugal at the Eurovision Song Contest 1996 |
E720965
|
entity |
| Predicate | representative |
P191344
|
FINISHED |
| Object | Lúcia Moniz |
—
|
NE NERFINISHED |
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: Lúcia Moniz | Statement: [Portugal at the Eurovision Song Contest 1996, representative, Lúcia Moniz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representative Context triple: [Portugal at the Eurovision Song Contest 1996, representative, Lúcia Moniz]
-
A.
representativeDetermined
Indicates that an official representative has been identified and designated for a particular entity or context.
-
B.
representativeOfState
Indicates that an entity serves as an official representative or agent acting on behalf of a particular state or government.
-
C.
federalRepresentative
Indicates that one entity serves as an official representative of another entity at the federal (national) level of government.
-
D.
majorRepresentative
Indicates that one entity serves as the primary or main representative of another entity.
-
E.
wardRepresentative
Indicates that one entity serves as the official representative or delegate for a specific ward or electoral district in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69f01a5a47148190b0a7e111bc432e0a |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 28, 2026, 3:01 a.m.