Triple
T37392372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenda, Arizona |
E928751
|
entity |
| Predicate | isJunctionForTravelers |
P159606
|
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, isJunctionForTravelers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isJunctionForTravelers Context triple: [Brenda, Arizona, isJunctionForTravelers, true]
-
A.
isJunction
chosen
Indicates that an entity functions as a junction point where multiple paths, lines, or connections meet or intersect.
-
B.
isTouristTransitPoint
Indicates that a location serves as a transit hub or intermediate stop primarily used by tourists while traveling between destinations.
-
C.
trailJunctionOf
Indicates that one trail serves as a junction or connecting point between two or more other trails.
-
D.
wasJunctionFor
Indicates that one entity functioned as a junction or connecting point for another entity, typically serving as an intersection or hub through which the other entity passed or was routed.
-
E.
isTransportHubBetween
Indicates that a location functions as a central node facilitating transportation connections between two or more other places.
- 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.