Triple
T25602510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GF(p) |
E641824
|
entity |
| Predicate | isSimpleField |
P158893
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [GF(p), isSimpleField, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSimpleField Context triple: [GF(p), isSimpleField, true]
-
A.
isSimple
Indicates that something has a straightforward, uncomplicated nature or structure, lacking complexity or elaboration.
-
B.
isNonSimple
Indicates that the relationship or structure in question is not simple, typically meaning it has additional complexity, such as multiple components, repetitions, or self-intersections.
-
C.
isFixedFieldOf
Indicates that one element is a fixed, non-variable field or attribute that belongs to and is structurally defined as part of another entity.
-
D.
isSimpleConnected
Indicates that a topological space is path-connected and every loop within it can be continuously contracted to a point (i.e., it has trivial fundamental group).
-
E.
recognisesField
Indicates that one entity acknowledges, identifies, or accepts a particular field (such as an area of study, expertise, or data attribute) as valid or relevant.
- 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_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_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 4:36 p.m.