Triple
T32704896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Synanon |
E836247
|
entity |
| Predicate | membershipPolicyChange |
P9550
|
FINISHED |
| Object | shift from addicts-only to general population |
—
|
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: shift from addicts-only to general population | Statement: [Synanon, membershipPolicyChange, shift from addicts-only to general population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membershipPolicyChange Context triple: [Synanon, membershipPolicyChange, shift from addicts-only to general population]
-
A.
changePolicy
chosen
Indicates that an entity modifies, replaces, or updates an existing policy governing rules, procedures, or behaviors.
-
B.
imposedPolicyChange
Indicates that one entity has unilaterally enforced a modification to rules, procedures, or policies upon another entity or system.
-
C.
unionPolicy
Indicates that there exists a policy, rule, or stance established or endorsed by a labor union in relation to the associated entities.
-
D.
boardingPolicy
Indicates the rules or procedures governing how and in what order passengers are allowed to board a vehicle or vessel.
-
E.
membershipTransfer
Indicates the transfer of membership status, rights, or affiliation from one entity to another.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 1, 2026, 1:10 a.m.