Triple
T16539991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel de Falla |
E401795
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Alta Gracia |
E298198
|
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: Alta Gracia | Statement: [Manuel de Falla, deathPlace, Alta Gracia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alta Gracia Context triple: [Manuel de Falla, deathPlace, Alta Gracia]
-
A.
Alta Gracia
chosen
Alta Gracia is a historic city in central Argentina known for its Jesuit Estancia, a UNESCO World Heritage Site, and as the childhood home of Che Guevara.
-
B.
Ríos Rosas
Ríos Rosas is a Madrid Metro station located in the Chamberí district, serving as part of the city's historic Line 1.
-
C.
Río Bueno
Río Bueno is a Chilean city known for its agricultural surroundings and location along the Bueno River in the Los Ríos Region.
-
D.
Chilecito
Chilecito is a city in northwestern Argentina known for its wine production, mining history, and scenic Andean surroundings.
-
E.
El Chañar
El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455bd43c8190b01560d4af55a9e0 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067ae169c81909a123b7dfe3fd906 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.