Triple
T15439699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XXX |
E369864
|
entity |
| Predicate | hasNumericParity |
P43788
|
FINISHED |
| Object | even |
—
|
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: even | Statement: [XXX, hasNumericParity, even]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumericParity Context triple: [XXX, hasNumericParity, even]
-
A.
hasParity
Indicates that two entities share the same parity property (e.g., both even or both odd) with respect to a specified attribute or value.
-
B.
hasParityPatterns
Indicates that there is a specific pattern or regularity in the parity (odd/even characteristics) associated with the related entities.
-
C.
requiresParityBetween
Indicates that a balanced or matching condition must hold between two entities, such that their relevant attributes or quantities share the same parity or equivalence.
-
D.
evennessProperty
chosen
Indicates that a quantity, value, or count has the property of being even, typically divisible into two equal integer parts without remainder.
-
E.
valueParity
Indicates that two compared values share the same parity (both even or both odd), or more generally, how a value’s parity is characterized 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eddf258819082679970b7d2b6af |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.