Triple
T36978277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilot Metropolitan |
E914754
|
entity |
| Predicate | gripSectionMaterial |
P1272
|
FINISHED |
| Object | plastic |
—
|
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: plastic | Statement: [Pilot Metropolitan, gripSectionMaterial, plastic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gripSectionMaterial Context triple: [Pilot Metropolitan, gripSectionMaterial, plastic]
-
A.
gripType
Indicates the manner or style in which one entity physically holds or grasps another.
-
B.
gripFeature
Indicates that one entity has a specific grip-related characteristic or functionality in relation to another entity.
-
C.
featuresMaterialType
Indicates that an entity is characterized by or incorporates a specific type of material.
-
D.
hasGripType
Indicates that one entity possesses or uses a specific type or style of grip in relation to another entity or action.
-
E.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
- 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.