Triple
T3060856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | greater flamingo |
E61991
|
entity |
| Predicate | breedsIn |
P19710
|
FINISHED |
| Object | Doñana, Spain |
E67028
|
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: Doñana, Spain | Statement: [greater flamingo, breedsIn, Doñana, Spain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doñana, Spain Context triple: [greater flamingo, breedsIn, Doñana, Spain]
-
A.
Doñana National Park
chosen
Doñana National Park is a vast protected wetland and biodiversity hotspot in southwestern Spain, renowned for its marshes, migratory birds, and endangered Iberian lynx.
-
B.
Santpedor, Spain
Santpedor, Spain is a small Catalan town in the province of Barcelona, best known internationally as the birthplace of football manager Pep Guardiola.
-
C.
Iberia
Iberia is the flag carrier airline of Spain, operating an extensive network of domestic and international flights, particularly linking Europe with Latin America.
-
D.
Rota, Spain
Rota, Spain is a coastal town in the province of Cádiz that hosts a major Spanish–U.S. naval base and serves as a strategic military and maritime hub.
-
E.
Beasain, Spain
Beasain, Spain is a town in the Basque Country notable as an industrial center, particularly for its long-standing railway and rolling stock manufacturing heritage.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9e1e248190b5ed5ebcdad1321e |
completed | March 8, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef0e757481908eb1d9693474c49d |
completed | March 11, 2026, 10:39 p.m. |
Created at: March 8, 2026, 3:02 p.m.