Triple
T37392373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenda, Arizona |
E928751
|
entity |
| Predicate | isStoppingPointForTravelers |
P166780
|
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: [Brenda, Arizona, isStoppingPointForTravelers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStoppingPointForTravelers Context triple: [Brenda, Arizona, isStoppingPointForTravelers, true]
-
A.
isTouristTransitPoint
Indicates that a location serves as a transit hub or intermediate stop primarily used by tourists while traveling between destinations.
-
B.
isStopoverPoint
chosen
Indicates that a location serves as an intermediate stopping point along a journey or route, rather than the final destination.
-
C.
isStopoverSiteFor
Indicates that a location serves as a temporary stopping or resting point along the route or journey of another entity.
-
D.
isMajorStopForTourists
Indicates that a location is a primary or frequently visited destination for tourists.
-
E.
isScenicStopOn
Indicates that a location serves as a designated scenic viewpoint or attraction situated along a particular route or path.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.