Triple
T20285442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piggy |
E509862
|
entity |
| Predicate | glassesFunction |
P139544
|
FINISHED |
| Object | starting signal fire |
—
|
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: starting signal fire | Statement: [Piggy, glassesFunction, starting signal fire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: glassesFunction Context triple: [Piggy, glassesFunction, starting signal fire]
-
A.
hasEyeWear
Indicates that one entity is wearing or equipped with some form of eyewear (such as glasses, goggles, or similar eye accessories).
-
B.
glassType
Indicates the specific kind or category of glass associated with or used by an entity.
-
C.
has3DGlasses
Indicates that an entity possesses or is equipped with 3D glasses.
-
D.
effectOnLens
Indicates the influence or impact that one entity has on the properties, behavior, or performance of a lens.
-
E.
usesLensBrand
Indicates that one entity employs or operates using a lens produced by a specific brand.
- F. None of above. chosen
Provenance (4 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e676924f48819095f6224c8d9bb257 |
completed | April 20, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 16, 2026, 11:06 a.m.