Triple
T31953047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston–Los Angeles |
E815831
|
entity |
| Predicate | hasNonstopService |
P94244
|
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: [Boston–Los Angeles, hasNonstopService, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNonstopService Context triple: [Boston–Los Angeles, hasNonstopService, true]
-
A.
isNonStop
chosen
Indicates that a service, trip, or process occurs from start to finish without any intermediate stops or interruptions.
-
B.
servedNonstopBy
Indicates that there is a direct, uninterrupted service (e.g., a route or connection) operating between two entities without any intermediate stops or transfers.
-
C.
hasTransitServiceType
Indicates that a transit service is associated with a specific type or category of service (e.g., bus, rail, express).
-
D.
hasRailServiceAt
Indicates that a rail transport service operates at or serves a particular location or facility.
-
E.
hasDirectServices
Indicates that one entity provides services directly to another entity without intermediaries.
- 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00d08e8fac8190b59359134e6e1c03 |
completed | May 10, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_6a00d0127c088190a6f5b360450af113 |
completed | May 10, 2026, 6:36 p.m. |
Created at: May 1, 2026, 12:08 a.m.