Triple
T24739846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demarest, New Jersey |
E618521
|
entity |
| Predicate | publicTransitLinksTo |
P93339
|
FINISHED |
| Object | Manhattan |
—
|
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: Manhattan | Statement: [Demarest, New Jersey, publicTransitLinksTo, Manhattan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicTransitLinksTo Context triple: [Demarest, New Jersey, publicTransitLinksTo, Manhattan]
-
A.
publicTransit
Indicates that one entity provides or is connected via shared, scheduled transportation services (such as buses, trains, or subways) that are available for use by the general public.
-
B.
transportLinkType
Indicates the specific kind of transportation connection or route that exists between two locations or transport nodes.
-
C.
publicTransitMode
Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
-
D.
transportationLinksTo
chosen
Indicates that there is a transportation connection or route enabling movement or travel between the two entities.
-
E.
isTransportationLinkBetween
Indicates that there exists a transportation connection (such as a road, rail, air, or sea route) linking the two entities.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:04 a.m.