Triple
T6355963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1st United States Volunteer Cavalry |
E142990
|
entity |
| Predicate | memberComposition |
P67883
|
FINISHED |
| Object | cowboys |
—
|
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: cowboys | Statement: [1st United States Volunteer Cavalry, memberComposition, cowboys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberComposition Context triple: [1st United States Volunteer Cavalry, memberComposition, cowboys]
-
A.
membershipConsistsOf
chosen
Indicates that a membership is composed of, or includes, specific member entities as its constituents.
-
B.
partyComposition
Indicates how the members or elements of a group or party are arranged, distributed, or combined to form that party as a whole.
-
C.
constitutedBy
Indicates that something is made up of, composed from, or formed by the specified parts or elements.
-
D.
memberEntities
Indicates that certain entities belong to, or are included as members within, a larger group or collection.
-
E.
personnelComposition
Indicates the makeup or distribution of people or roles within a group, organization, or unit.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e22c00819089bc68efb85bc2c8 |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:32 p.m.