Triple
T10680082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | blue crele Cochin |
E251722
|
entity |
| Predicate | isSafeFor |
P18991
|
FINISHED |
| Object | families with children |
—
|
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: families with children | Statement: [blue crele Cochin, isSafeFor, families with children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSafeFor Context triple: [blue crele Cochin, isSafeFor, families with children]
-
A.
isSuitableFor
chosen
Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with another entity.
-
B.
isSafeSeatFor
Indicates that one entity is a suitable and secure seating option for another entity, posing no unacceptable risk or harm.
-
C.
safetySetting
Indicates that an entity is configured with a particular safety-related parameter, mode, or constraint governing how it operates or behaves.
-
D.
hasSafetyCharacteristic
Indicates that an entity possesses a specific safety-related property, feature, or attribute.
-
E.
safetyFunction
Indicates that one entity serves as a safety-related function or mechanism that protects, safeguards, or reduces risk for another entity or process.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc03dc4819080a6211a2bfaaf0a |
completed | April 9, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:10 p.m.