Triple
T9764443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 131 |
E236749
|
entity |
| Predicate | followsTransportationCorridorType |
P56025
|
FINISHED |
| Object | north–south route |
—
|
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: north–south route | Statement: [Maine State Route 131, followsTransportationCorridorType, north–south route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsTransportationCorridorType Context triple: [Maine State Route 131, followsTransportationCorridorType, north–south route]
-
A.
railCorridorType
Indicates the specific classification or type of a rail corridor associated with the subject (e.g., mainline, branch line, high-speed, freight, etc.).
-
B.
transportCorridor
Indicates a route or pathway used to move people, goods, or resources between locations.
-
C.
partOfTransportCorridorTo
Indicates that one entity forms a component or segment of a larger transport corridor leading to another entity.
-
D.
formsTransportCorridorBetween
Indicates that something creates or constitutes a transportation link or route connecting two locations or entities.
-
E.
typeOfTransportInfrastructure
chosen
Indicates the specific category or kind of transport infrastructure associated with or used in a given context.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda09ed54c8190a5879e14184cddf4 |
completed | April 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.