Triple
T5915520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huesca province |
E131569
|
entity |
| Predicate | contains |
P35
|
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: [Huesca province, contains, Graus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graus Context triple: [Huesca province, contains, 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.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
-
D.
Gelo
Gelo is a film featuring Spanish actress Ivana Baquero in a prominent role.
-
E.
Gradelle
Gradelle is a residential neighborhood within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037bb538c8190acc514c2d49359f4 |
completed | March 22, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c02430bc8190a63b91b6dbdbc9f2 |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 3:59 p.m.