Triple
T11707341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Alianza por la Unidad Nacional |
E278281
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | GANA |
E278283
|
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: GANA | Statement: [Gran Alianza por la Unidad Nacional, shortName, GANA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GANA Context triple: [Gran Alianza por la Unidad Nacional, shortName, GANA]
-
A.
GANA
chosen
GANA is an acronym that can refer to various organizations or entities depending on the context, such as political parties, associations, or initiatives in different countries.
-
B.
González
González is a common Spanish-language surname widely borne across Spain and Latin America, often associated with Iberian heritage.
-
C.
GATA
GATA is a song featured on the album "TattleTales" by rapper 6ix9ine.
-
D.
Saca
Saca is a Spanish-language surname most notably associated with former Salvadoran president Antonio Saca.
-
E.
Beto
Beto is an American politician from Texas known for his high-profile campaigns for the U.S. Senate and the presidency.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49de0388190a063739426bf90e8 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef836388bc8190827ce4af609d8b61 |
completed | April 27, 2026, 3:40 p.m. |
Created at: April 8, 2026, 9:40 p.m.