Triple
T37329899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oglethorpe, Texas |
E926714
|
entity |
| Predicate | drivingAgeLegal |
P156758
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [Oglethorpe, Texas, drivingAgeLegal, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivingAgeLegal Context triple: [Oglethorpe, Texas, drivingAgeLegal, 16]
-
A.
canAge
Indicates that one entity has the capability or property of undergoing aging over time.
-
B.
governsAgeEligibility
chosen
Indicates that one entity sets or controls the age-related criteria determining another entity’s eligibility for something.
-
C.
minimumAgeForLiteracyTest
Indicates the minimum age requirement that an individual must meet in order to be eligible to take a literacy test.
-
D.
canAgeFor
Indicates that one entity is capable of undergoing an aging or maturation process for the benefit, use, or context of another entity.
-
E.
hasLegalCapacity
Indicates that an entity possesses the legal authority and competence to perform actions or enter into obligations that are recognized and enforceable under the law.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.