Triple
T8733465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasse–Weil zeta function |
E207313
|
entity |
| Predicate | localFactorAt |
P84546
|
FINISHED |
| Object | finite prime of the base number field |
—
|
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: finite prime of the base number field | Statement: [Hasse–Weil zeta function, localFactorAt, finite prime of the base number field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localFactorAt Context triple: [Hasse–Weil zeta function, localFactorAt, finite prime of the base number field]
-
A.
localStatus
Indicates the current condition or state of an entity within a specific local context or environment.
-
B.
localityCondition
Indicates a spatial or contextual constraint specifying where or under what local conditions a relationship, event, or property holds.
-
C.
locationScope
Indicates the specific geographic or spatial area within which a given relationship, condition, or action is considered valid or applicable.
-
D.
formsLocalityWith
Indicates that two or more entities together constitute or define a specific locality or local area.
-
E.
locationVariesWith
Indicates that the location of one entity changes in dependence on, or as a function of, changes in another 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2a26988190acfda17f232e610a |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457322b481908712a9630a17b954 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc572d99bc819097f36b140c2ee1ce |
completed | March 31, 2026, 11:22 p.m. |
Created at: March 30, 2026, 6:37 p.m.