Triple
T32519129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCSG |
E831134
|
entity |
| Predicate | typeOfStakeholderGroup |
P34203
|
FINISHED |
| Object | non-commercial |
—
|
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: non-commercial | Statement: [NCSG, typeOfStakeholderGroup, non-commercial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfStakeholderGroup Context triple: [NCSG, typeOfStakeholderGroup, non-commercial]
-
A.
hasStakeholderType
chosen
Indicates that an entity is associated with a stakeholder and specifies the category or role that stakeholder fulfills in relation to the entity.
-
B.
corporateGroupType
Indicates the classification of a corporate group according to its organizational or legal type.
-
C.
roleOfGroup
Indicates the function, responsibility, or position that a group holds within a broader context or structure.
-
D.
stakeholderIndustry
Indicates the industry or sector in which a stakeholder operates or is primarily involved.
-
E.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0067cde0f08190b2cd93af5f00d519 |
completed | May 10, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_6a0065820c8c8190994734433c64a30a |
completed | May 10, 2026, 11:01 a.m. |
Created at: May 1, 2026, 1 a.m.