Triple
T32519565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Address Policy Working Group |
E831144
|
entity |
| Predicate | hasParticipationModel |
P11584
|
FINISHED |
| Object | open to anyone |
—
|
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: open to anyone | Statement: [Address Policy Working Group, hasParticipationModel, open to anyone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParticipationModel Context triple: [Address Policy Working Group, hasParticipationModel, open to anyone]
-
A.
participationModel
chosen
Indicates how entities are involved in or contribute to an activity, process, or interaction.
-
B.
hasGlobalParticipation
Indicates that an entity is involved in or contributes to activities, initiatives, or operations that span multiple countries or have worldwide scope.
-
C.
hasParticipants
Indicates that an event, activity, or situation involves one or more entities as participants in it.
-
D.
allowsParticipationIn
Indicates that one entity grants another entity the right or permission to take part in a specific activity, event, or process.
-
E.
requiresParticipationOf
Indicates that one entity’s occurrence, validity, or completion depends on the active involvement or participation of another entity.
- 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_69ff109695008190a22b47ef8be2e3f9 |
completed | May 9, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69ff0f243ea88190970d2c520b55c816 |
completed | May 9, 2026, 10:40 a.m. |
Created at: May 1, 2026, 1 a.m.