Triple
T34655857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuspuk School District |
E889972
|
entity |
| Predicate | hasTransportationChallenges |
P72800
|
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: [Kuspuk School District, hasTransportationChallenges, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransportationChallenges Context triple: [Kuspuk School District, hasTransportationChallenges, true]
-
A.
hasTransportIssue
chosen
Indicates that an entity is experiencing a problem, disruption, or malfunction related to transportation or a transport service.
-
B.
hasTransportationAbove
Indicates that one entity provides or has transportation infrastructure or services located above another entity (e.g., elevated roads, railways, or transit lines).
-
C.
usesWheelchair
Indicates that an entity relies on or operates a wheelchair for mobility or transportation.
-
D.
hasLimitedRoadAccess
Indicates that an entity can only be reached by a small number of roads, restricted routes, or otherwise constrained vehicular access.
-
E.
hasGroundTransportation
Indicates that an entity provides, includes, or is connected to transportation services or options that operate on land (e.g., cars, buses, trains).
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff7dcedab08190a719a707d03306e2 |
completed | May 9, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69ff7d0119348190ad462554e81190fe |
completed | May 9, 2026, 6:29 p.m. |
Created at: May 1, 2026, 2:04 a.m.