Triple
T880385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chair L |
E19011
|
entity |
| Predicate | hasMembershipStatus |
P18012
|
FINISHED |
| Object | full member seat |
—
|
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: full member seat | Statement: [Chair L, hasMembershipStatus, full member seat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMembershipStatus Context triple: [Chair L, hasMembershipStatus, full member seat]
-
A.
membershipStatus
chosen
Indicates the current state or level of an entity’s participation or affiliation within a group, organization, or program.
-
B.
membershipAsOf
Indicates that one entity is a member of another entity or group at a specific point in time or as of a given date.
-
C.
hasMembershipBase
Indicates that an entity possesses or is associated with a foundational group or set of members that form its membership base.
-
D.
hasMemberState
Indicates that an entity includes or comprises another entity as one of its constituent member states within a larger organizational or political structure.
-
E.
hasMembershipProgram
Indicates that an entity offers or participates in a structured membership program, typically providing special access, benefits, or services to enrolled members.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4accb653c81909fe0753f78145be9 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8eca748190b58e0f08b30fba43 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.