Triple
T35379211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ENF |
E1022596
|
entity |
| Predicate | isFormerOrganization |
P48196
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ENF, isFormerOrganization, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFormerOrganization Context triple: [ENF, isFormerOrganization, true]
-
A.
formerOrganization
chosen
Indicates that an entity was previously affiliated with or employed by a given organization, but is no longer associated with it.
-
B.
isFormerEntity
Indicates that an entity previously held a particular status, role, or identity but no longer does so.
-
C.
isFormerAgencyOf
Indicates that one entity previously functioned as an agency or subordinate body of another entity, but no longer holds that status.
-
D.
originalOrganization
Indicates the organization from which an entity (such as a person, document, or resource) initially originated or was first associated.
-
E.
hasFormerInstitutionName
Indicates that an institution was previously known by a different name.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.