Triple
T2033177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Output Management |
E44562
|
entity |
| Predicate | appliesPrinciplesFrom |
P1757
|
FINISHED |
| Object | manufacturing |
—
|
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: manufacturing | Statement: [High Output Management, appliesPrinciplesFrom, manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesPrinciplesFrom Context triple: [High Output Management, appliesPrinciplesFrom, manufacturing]
-
A.
usesPrinciple
chosen
Indicates that one entity applies, relies on, or is based upon a particular principle in its functioning, reasoning, or design.
-
B.
recognizesPrinciple
Indicates that an entity acknowledges the validity, authority, or applicability of a particular principle.
-
C.
establishesPrinciple
Indicates that an entity formulates, defines, or sets forth a foundational rule, guideline, or standard that others are expected to follow or build upon.
-
D.
typeOfPrinciples
Indicates a relationship where one entity specifies the kind or category of principles that another entity embodies, uses, or is governed by.
-
E.
supportsPrinciple
Indicates that one entity endorses, upholds, or actively backs a particular principle or doctrine.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb93255248190bd47a54a7b3c7447 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.