Triple
T20878861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nut Room |
E514090
|
entity |
| Predicate | factorySection |
P4394
|
FINISHED |
| Object | nut processing department |
—
|
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: nut processing department | Statement: [Nut Room, factorySection, nut processing department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: factorySection Context triple: [Nut Room, factorySection, nut processing department]
-
A.
buildingSection
chosen
Indicates a relationship where one entity is a specific section, part, or subdivision of a larger building.
-
B.
formerRackSection
Indicates that an entity was previously part of a specified rack section but is no longer associated with it.
-
C.
section
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
-
D.
factoryBacked
Indicates that an entity is officially supported, funded, or endorsed by its original manufacturer or producing organization.
-
E.
featuresStringSection
Indicates that an entity includes or is associated with a specific section of text represented as a string.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6775f108190a79cd5e8c31cecf6 |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:45 p.m.