Triple
T10142126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gandia |
E231608
|
entity |
| Predicate | hasFestival |
P3113
|
FINISHED |
| Object | Falles |
E350355
|
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: Falles | Statement: [Gandia, hasFestival, Falles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Falles Context triple: [Gandia, hasFestival, Falles]
-
A.
Falles
chosen
Falles is a traditional Valencian festival held in March, famous for its elaborate satirical sculptures, fireworks, and the ceremonial burning of large artistic monuments.
-
B.
Assomada
Assomada is a central market town and important commercial hub on the island of Santiago in Cape Verde.
-
C.
Puyol
Puyol is a retired Spanish footballer best known as FC Barcelona’s long-serving, hard-tackling central defender and captain, widely regarded as one of the greatest defenders of his generation.
-
D.
Gravedona
Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
-
E.
Sampués
Sampués is a municipality in northern Colombia known for its traditional Zenú indigenous culture and artisanal hat weaving.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2599e0819090184631e481310c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e60e51488190a6097837eb3ce18a |
completed | April 5, 2026, 10:45 p.m. |
Created at: March 30, 2026, 9:07 p.m.