Triple
T20607976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Kerens, Texas |
E506360
|
entity |
| Predicate | abidesByLawSystem |
P131132
|
FINISHED |
| Object | U.S. law |
—
|
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: U.S. law | Statement: [City of Kerens, Texas, abidesByLawSystem, U.S. law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abidesByLawSystem Context triple: [City of Kerens, Texas, abidesByLawSystem, U.S. law]
-
A.
obeysLaw
Indicates that an entity follows, complies with, or acts in accordance with a specified law or set of laws.
-
B.
governsBodyOfLaw
Indicates that one entity has authoritative control over the creation, interpretation, or enforcement of a particular body of law.
-
C.
hasLegalSystemType
Indicates that an entity possesses or is governed by a particular type or form of legal system.
-
D.
enforcedLaw
Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
-
E.
usedLegalSystemOf
chosen
Indicates that one entity applied, followed, or operated under the legal system or body of laws belonging to 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad4b0bc819097b785f921561f36 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:41 a.m.