Triple
T5992560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBWAA Los Angeles chapter |
E133384
|
entity |
| Predicate | membershipConsistsOf |
P67883
|
FINISHED |
| Object | baseball writers |
—
|
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: baseball writers | Statement: [BBWAA Los Angeles chapter, membershipConsistsOf, baseball writers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membershipConsistsOf Context triple: [BBWAA Los Angeles chapter, membershipConsistsOf, baseball writers]
-
A.
membershipBy
Indicates that one entity holds membership or belongs to a group, organization, or collection defined by another entity.
-
B.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
C.
membershipBased
Indicates that access, participation, or inclusion in something is conditional on holding a membership or belonging to a defined group.
-
D.
membershipStructure
Indicates the organizational or hierarchical arrangement that defines how members are grouped, related, and governed within a collective or system.
-
E.
membershipIncluded
Indicates that one entity’s membership or inclusion is contained within, or granted as part of, another entity’s membership.
- F. None of above. chosen
Provenance (4 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e9189908190abc9c742b38dfabc |
completed | March 22, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:05 p.m.