Triple
T3734353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Providence Village, Texas |
E79143
|
entity |
| Predicate | isFamilyOriented |
P17278
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Town of Providence Village, Texas, isFamilyOriented, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFamilyOriented Context triple: [Town of Providence Village, Texas, isFamilyOriented, true]
-
A.
isFamilyFriendly
chosen
Indicates that something is suitable for all ages and does not contain content inappropriate for children or sensitive audiences.
-
B.
goodWithChildren
Indicates that an entity interacts with, behaves around, or cares for children in a positive, safe, and appropriate manner.
-
C.
familyControlled
Indicates that an entity is owned or effectively governed by one or more members of the same family, who hold decisive control over its decisions or operations.
-
D.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
E.
TVShare
Indicates a relationship where one entity shares access to or usage of a television (or TV-related content/service) with another entity.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb39dc0881909cd74ff25d8c43a9 |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc04746588190b0dc535638f23546 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.