Triple
T10568790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramiro I of Aragon |
E249423
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Graus |
E392185
|
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: Graus | Statement: [Ramiro I of Aragon, placeOfDeath, Graus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graus Context triple: [Ramiro I of Aragon, placeOfDeath, Graus]
-
A.
Graus
chosen
Graus is a historic town in the province of Huesca, Aragon, Spain, known for its traditional architecture and cultural festivals.
-
B.
Frías
Frías is a Spanish-language surname commonly found in Spain and Latin America.
-
C.
Grüsch
Grüsch is a Swiss municipality in the canton of Graubünden, situated in the alpine Prättigau valley and known as a gateway to nearby mountain and ski areas.
-
D.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
-
E.
Frigi
Frigi is the official mascot character created to represent and promote a specific edition of the Olympic Games.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ff53c8190ae7c399d49b585f5 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b4c26ec8190910efdf4a236d654 |
completed | April 10, 2026, 7:11 p.m. |
Created at: April 6, 2026, 12:37 p.m.