Triple
T2037460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boulder City, Nevada |
E44664
|
entity |
| Predicate | oneOfFewIn |
P35467
|
FINISHED |
| Object | U.S. cities where gambling is prohibited |
—
|
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. cities where gambling is prohibited | Statement: [Boulder City, Nevada, oneOfFewIn, U.S. cities where gambling is prohibited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfFewIn Context triple: [Boulder City, Nevada, oneOfFewIn, U.S. cities where gambling is prohibited]
-
A.
onlyChildOf
Indicates that one person is the sole child of another, with no siblings.
-
B.
oneOfCasesIn
Indicates that an entity is one specific member of a defined set or collection of possible cases.
-
C.
singleFrom
Indicates that one entity is derived as a single, distinct item from another source or collection.
-
D.
isOneOfMostImportantSeesIn
Indicates that something is regarded as one of the most significant or noteworthy sights or views within a particular place or context.
-
E.
singleBy
Indicates that an entity is not in a romantic relationship and is considered single according to a specified criterion or context.
- F. None of above. chosen
Provenance (4 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb95062c481908058d6da35337680 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb90ec7948190bbfb0329e9e67cca |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:39 p.m.