Triple
T36978753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilot Color Eno mechanical pencils |
E914765
|
entity |
| Predicate | leadProperty |
P5774
|
FINISHED |
| Object | light erasability |
—
|
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: light erasability | Statement: [Pilot Color Eno mechanical pencils, leadProperty, light erasability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadProperty Context triple: [Pilot Color Eno mechanical pencils, leadProperty, light erasability]
-
A.
basisProperty
Indicates that one property serves as the foundational or defining basis for another property or characteristic.
-
B.
notableLicensedProperty
Indicates that one entity is a prominent or significant intellectual property for which another entity holds an official license or usage rights.
-
C.
studiedProperty
Indicates that an entity has examined, researched, or analyzed a particular property or attribute of another entity.
-
D.
property
chosen
Indicates that one entity possesses, is characterized by, or has an attribute or quality associated with another entity.
-
E.
ownedProperty
Indicates that one entity possesses legal ownership or control over another entity as property.
- 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.