Triple
T5796088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curiate Assembly |
E128511
|
entity |
| Predicate | numberOfCuriae |
P66575
|
FINISHED |
| Object | 30 |
—
|
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: 30 | Statement: [Curiate Assembly, numberOfCuriae, 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCuriae Context triple: [Curiate Assembly, numberOfCuriae, 30]
-
A.
numberOfCases
Indicates the total count of individual instances, occurrences, or records associated with a particular situation, condition, or category.
-
B.
hasNumberOfCasesApprox
Indicates that an entity is associated with an approximate (not exact) count of cases.
-
C.
numberOfGenera
Indicates the total count of genera associated with or contained within a given entity.
-
D.
numberOfLaws
Indicates the quantitative count of laws associated with a given entity or context.
-
E.
numberOfGrandeeships
Indicates the quantity of grandeeships (noble titles or ranks of grandee status) associated with a given entity.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02b10def8819080859bc6505405ed |
completed | March 22, 2026, 5:46 p.m. |
Created at: March 22, 2026, 3:51 p.m.