Triple
T2633053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Route 11 (planned/partial) |
E59678
|
entity |
| Predicate | plannedFunction |
P13995
|
FINISHED |
| Object | facilitate cross-border trade |
—
|
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: facilitate cross-border trade | Statement: [State Route 11 (planned/partial), plannedFunction, facilitate cross-border trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedFunction Context triple: [State Route 11 (planned/partial), plannedFunction, facilitate cross-border trade]
-
A.
planned
Indicates that an entity has intentionally arranged or scheduled another entity or event to occur in the future.
-
B.
intendedFunction
chosen
Indicates that something is designed or purposed to perform a particular role, use, or function.
-
C.
plannedUnder
Indicates that one entity has been scheduled, organized, or arranged to occur within the scope, authority, or framework of another entity.
-
D.
plannedComponent
Indicates that one entity is intended or scheduled to serve as a component or part of another entity in a planned or future configuration.
-
E.
plannedAt
Indicates that an event, action, or activity is scheduled or intended to occur at a specific time or date.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.