Triple
T18722405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of London |
E457808
|
entity |
| Predicate | hasNoFormalMembership |
P15011
|
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: [School of London, hasNoFormalMembership, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoFormalMembership Context triple: [School of London, hasNoFormalMembership, true]
-
A.
notMemberOf
chosen
Indicates that an entity does not belong to, is not included in, or is not a part of a specified group, set, or collection.
-
B.
hasFormalStatus
Indicates that an entity possesses an officially recognized or legally defined status within a formal system or context.
-
C.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
D.
hasNoFormalSalary
Indicates that an entity does not receive a fixed, officially defined salary for their role or work.
-
E.
hasInformalStatus
Indicates that an entity holds a non-official, casual, or unofficial standing or role in relation to 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56abc1c708190917f6bfea0548c42 |
completed | April 19, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:50 a.m.