Triple
T36862496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hughes, Alaska |
E910979
|
entity |
| Predicate | primaryTransportationModeWithinCommunity |
P70707
|
FINISHED |
| Object | all-terrain vehicles |
—
|
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: all-terrain vehicles | Statement: [Hughes, Alaska, primaryTransportationModeWithinCommunity, all-terrain vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTransportationModeWithinCommunity Context triple: [Hughes, Alaska, primaryTransportationModeWithinCommunity, all-terrain vehicles]
-
A.
usedTransportationMode
Indicates that an entity traveled or moved using a specified mode of transportation.
-
B.
hasPrimaryTransportationMode
chosen
Indicates the main or most frequently used mode of transportation associated with an entity.
-
C.
primaryTransportFunction
Indicates the main mode or role by which something serves to move people, goods, or information from one place to another.
-
D.
transportPattern
Indicates a recurring or characteristic way in which transportation is carried out between entities, such as typical routes, modes, or schedules.
-
E.
primaryTransports
Indicates that one entity serves as the main means or method of transporting or conveying 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_69f76e80f6f0819091cba8e19b269615 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.