Triple
T36978444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilot Kakuno |
E914758
|
entity |
| Predicate | nibFeature |
P64220
|
FINISHED |
| Object | smiley-face engraving |
—
|
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: smiley-face engraving | Statement: [Pilot Kakuno, nibFeature, smiley-face engraving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nibFeature Context triple: [Pilot Kakuno, nibFeature, smiley-face engraving]
-
A.
nestFeature
Indicates that one entity is a structural or functional component contained within, or forming part of, another entity.
-
B.
namedFeature
chosen
Indicates that an entity has a specific feature or attribute that is explicitly given a name.
-
C.
spanFeature
Indicates a relationship where a feature or characteristic extends across or covers a specified span or interval.
-
D.
inkFeatures
Indicates that an entity possesses specific ink-related characteristics or properties.
-
E.
namedForFeature
Indicates that one entity is named after, or derives its name from, a particular feature or characteristic of another entity.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.