Triple
T4476227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilton Rancheria |
E100014
|
entity |
| Predicate | hasEnrollmentCriteria |
P1130
|
FINISHED |
| Object | lineal descent |
—
|
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: lineal descent | Statement: [Wilton Rancheria, hasEnrollmentCriteria, lineal descent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnrollmentCriteria Context triple: [Wilton Rancheria, hasEnrollmentCriteria, lineal descent]
-
A.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
B.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
-
C.
eligibilityCriteria
chosen
Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
-
D.
hasEntryRequirement
Indicates that one entity specifies conditions or qualifications that must be met before another entity is allowed access, participation, or admission.
-
E.
hasQualificationStructure
Indicates that an entity is associated with a specific configuration or pattern of qualifications (e.g., degrees, certifications, or credentials) that define how those qualifications are organized or structured.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:35 p.m.