Triple
T34263823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NJ 29 |
E879108
|
entity |
| Predicate | northernTerminusVicinity |
P115687
|
FINISHED |
| Object | Frenchtown, New Jersey |
—
|
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: Frenchtown, New Jersey | Statement: [NJ 29, northernTerminusVicinity, Frenchtown, New Jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: northernTerminusVicinity Context triple: [NJ 29, northernTerminusVicinity, Frenchtown, New Jersey]
-
A.
northernTerminusNearbyPlace
chosen
Indicates that a place serves as, or is located very close to, the northern endpoint of a route, line, or similar feature.
-
B.
northernTerminusVariant
Indicates that one location or feature serves as an alternative or variant northern endpoint of a route, line, or path.
-
C.
northernTerminusRegion
Indicates that a location or route has its northern endpoint or final stopping point within a specified region.
-
D.
northernTerminusConnects
Indicates that a route, line, or pathway connects to or ends at a specified location at its northernmost terminus.
-
E.
northernTerminusMunicipality
Indicates that a municipality serves as the northern endpoint or terminus of a route, line, or similar linear feature.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.