Triple
T2650244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pella |
E53880
|
entity |
| Predicate | hasMaterialOption |
P41055
|
FINISHED |
| Object | wood windows |
—
|
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: wood windows | Statement: [Pella, hasMaterialOption, wood windows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaterialOption Context triple: [Pella, hasMaterialOption, wood windows]
-
A.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
B.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
C.
hasRetailOption
Indicates that one entity offers, includes, or is associated with a particular retail option (such as a sales channel, purchase method, or retail configuration) for another entity.
-
D.
hasNanoTextureGlassOption
Indicates that an entity offers or includes an available option for nano-texture glass.
-
E.
hasVariant
Indicates that one entity exists as an alternative form, version, or variation of another entity.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd92f5f508190b4ca396c3f399e93 |
completed | March 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd879bb808190bd2c34de1664c816 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:53 p.m.