Triple
T21658544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sancia of Majorca |
E534532
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sancia |
—
|
NE NERFINISHED |
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: Sancia | Statement: [Sancia of Majorca, givenName, Sancia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sancia Context triple: [Sancia of Majorca, givenName, Sancia]
-
A.
Sancha
chosen
Sancha is a feminine given name of Spanish origin historically borne by several medieval Iberian queens and noblewomen.
-
B.
Rosana
Rosana is a municipality in the state of São Paulo, Brazil, known for hosting a campus of São Paulo State University (UNESP).
-
C.
Rosana
Rosana is a Brazilian professional footballer known for her successful international career and contributions to top women’s clubs, including Avaldsnes IL.
-
D.
Sanchica
Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
-
E.
Sanchia
Sanchia was a 13th-century noblewoman from the House of Provence who became Queen of the Romans through her marriage to Richard of Cornwall.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c05a8d881909f747635bdb4ef09 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.