Triple
T75665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LGBTPeople |
E1512
|
entity |
| Predicate | hasComponentGroup |
P4718
|
FINISHED |
| Object | lesbian people |
—
|
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: lesbian people | Statement: [LGBTPeople, hasComponentGroup, lesbian people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentGroup Context triple: [LGBTPeople, hasComponentGroup, lesbian people]
-
A.
hasUserGroup
Indicates that a user is associated with, belongs to, or is a member of a specific user group.
-
B.
hasLanguageGroup
Indicates that an entity belongs to, is associated with, or is categorized under a particular language group.
-
C.
hasSubcommunityIn
Indicates that a larger community contains or encompasses a smaller, distinct subcommunity located within it.
-
D.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
E.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a25314bd6c81908d1cfd4b83f20049 |
completed | Feb. 28, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69a24eae77ec81909015906f31f2b62e |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a25313f1688190ba0fa8677faaf65b |
completed | Feb. 28, 2026, 2:29 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.