Triple
T10671087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kai (quay) |
E251485
|
entity |
| Predicate | isLinearFeature |
P22984
|
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: [Kai (quay), isLinearFeature, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLinearFeature Context triple: [Kai (quay), isLinearFeature, true]
-
A.
isLinear
Indicates that a relationship, function, or structure preserves linearity, typically meaning it satisfies additivity and homogeneity (or forms a straight-line dependence between variables).
-
B.
isFeatureOf
Indicates that something functions as a characteristic, attribute, or component belonging to or describing another entity.
-
C.
hasStraightLines
chosen
Indicates that the related entity possesses or is characterized by straight, non-curved lines.
-
D.
isFeatureLength
Indicates that something (typically a film or video) has a duration long enough to be considered a full-length, standard feature.
-
E.
hasSlopeFeature
Indicates that an entity possesses or is characterized by a particular slope-related property or feature.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f8648a248190a3bd284c569152e4 |
completed | April 9, 2026, 12:52 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:09 p.m.