Triple
T9932778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICANN Government Engagement |
E192684
|
entity |
| Predicate | stakeholderCategory |
P34203
|
FINISHED |
| Object | public sector engagement |
—
|
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: public sector engagement | Statement: [ICANN Government Engagement, stakeholderCategory, public sector engagement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stakeholderCategory Context triple: [ICANN Government Engagement, stakeholderCategory, public sector engagement]
-
A.
primaryStakeholder
Indicates that an entity is the main party with the greatest interest, responsibility, or influence in relation to another entity, project, or decision.
-
B.
hasStakeholder
Indicates that an entity is a stakeholder of another entity, typically having an interest, involvement, or influence in its activities or outcomes.
-
C.
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.
-
D.
identityCategory
Indicates that an entity belongs to, or is classified under, a particular identity-based category or group.
-
E.
sectorRepresented
Indicates that an entity serves as a representative or proxy for a particular sector (such as an industry, domain, or market segment).
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b7897081909b28189aa57af250 |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:43 p.m.