Triple
T33242728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakehurst Road |
E851009
|
entity |
| Predicate | isNumberedRouteSegmentOf |
P21871
|
FINISHED |
| Object | NJ 70 |
—
|
NE NERFINISHED |
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: NJ 70 | Statement: [Lakehurst Road, isNumberedRouteSegmentOf, NJ 70]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNumberedRouteSegmentOf Context triple: [Lakehurst Road, isNumberedRouteSegmentOf, NJ 70]
-
A.
isNumberedRouteIn
Indicates that a numbered route (such as a highway or road with an assigned number) is located within or passes through a specified geographic or administrative area.
-
B.
isNumberedOrLetteredRoute
Indicates that a route is designated using numbers or letters (or a combination), rather than an informal or unnamed designation.
-
C.
hasRouteNumberingRole
Indicates that an entity participates in the assignment, management, or designation of route numbers for a transportation route or network.
-
D.
routeSegment
chosen
Indicates a specific portion of a larger route that directly connects two points or locations within that route.
-
E.
envisionedRouteSegment
Indicates a planned or imagined portion of a route that is conceptually defined but not yet realized or physically established.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:31 a.m.