Triple
T3864355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tohono O'odham |
E91813
|
entity |
| Predicate | enrolledMembers |
P7638
|
FINISHED |
| Object | thousands of members |
—
|
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: thousands of members | Statement: [Tohono O'odham, enrolledMembers, thousands of members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enrolledMembers Context triple: [Tohono O'odham, enrolledMembers, thousands of members]
-
A.
eligibleMembers
Indicates that certain entities meet the required criteria or conditions to be considered eligible members of a specified group or category.
-
B.
hasMembers
chosen
Indicates that a group, organization, or collection includes certain entities as its members.
-
C.
hasListOfMembers
Indicates that an entity is associated with a collection containing its members or constituents.
-
D.
memberEntities
Indicates that certain entities belong to, or are included as members within, a larger group or collection.
-
E.
primaryMembers
Indicates that the related entities are the main or most important members within a larger group or organization.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3871d881909c6c8e6d08203801 |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.