Triple
T21006418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semana Santa in Zamora |
E517423
|
entity |
| Predicate | numberOfBrotherhoods |
P142452
|
FINISHED |
| Object | more than a dozen |
—
|
LITERAL 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: more than a dozen | Statement: [Semana Santa in Zamora, numberOfBrotherhoods, more than a dozen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBrotherhoods Context triple: [Semana Santa in Zamora, numberOfBrotherhoods, more than a dozen]
-
A.
numberOfClans
Indicates the count of distinct clans associated with a given entity.
-
B.
numberOfTownsControlledBySons
Indicates the number of towns that are under the control or authority of the sons.
-
C.
numberOfBastions
Indicates the quantity of bastions associated with or contained by a given entity.
-
D.
numberOfTribes
Indicates the total count of distinct tribes associated with a given entity or context.
-
E.
numberOfMonks
Indicates the quantity or count of monks associated with a given entity or context.
- F. None of above. chosen
Provenance (4 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3c05a481908d25de2a63a4cdbe |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.