Triple
T25602506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GF(p) |
E641824
|
entity |
| Predicate | additiveIdentity |
P102442
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [GF(p), additiveIdentity, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: additiveIdentity Context triple: [GF(p), additiveIdentity, 0]
-
A.
hasAdditiveInverses
Indicates that for every element in a given structure, there exists another element that combines with it under the operation to yield the additive identity (typically zero).
-
B.
hasAdditiveGroup
Indicates that something possesses an associated additive group structure, typically meaning its elements form a group under an addition-like operation.
-
C.
isZeroSum
Indicates that the interaction, game, or transaction is structured so that any gain by one participant is exactly balanced by an equivalent loss by others, making the net total change zero.
-
D.
hasIdentityElement
Indicates that a binary operation on a set has a special element which, when combined with any element of the set, leaves that element unchanged.
-
E.
typeOfIdentityElement
chosen
Indicates that one entity is the identity element associated with another entity (such as a structure, operation, or set) in a given context.
- F. None of above.
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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9a7d7d881909014fdf3746f981b |
completed | May 2, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 4:36 p.m.