Triple
T11260385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toro |
E266545
|
entity |
| Predicate | province |
P604
|
FINISHED |
| Object | Zamora |
E239953
|
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: Zamora | Statement: [Toro, province, Zamora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zamora Context triple: [Toro, province, Zamora]
-
A.
Zamora
Zamora is a city in the Mexican state of Michoacán known for its agricultural production, colonial architecture, and religious landmarks such as the Cathedral of Our Lady of Guadalupe.
-
B.
Zamora
chosen
Zamora is a historic city in northwestern Spain known for its well-preserved Romanesque architecture and strategic location near the Portuguese border.
-
C.
Zamora
Zamora is a city in southern Ecuador that serves as the administrative and commercial center of Zamora-Chinchipe Province in the Amazonian foothills.
-
D.
Navàs
Navàs is a municipality in the comarca of Bages in the province of Barcelona, Catalonia, Spain.
-
E.
Chichinales
Chichinales is a small town in Argentina’s Patagonia region, located in the eastern part of Río Negro Province and known for its agricultural activity and proximity to the Alto Valle fruit-growing area.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e936cb048190b4d6fb2851ef8932 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f410cb508190bb0ceab51075eec5 |
completed | April 19, 2026, 3:26 p.m. |
Created at: April 8, 2026, 9:31 p.m.