Triple
T34905779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newark railway station (former GNR) |
E1006721
|
entity |
| Predicate | servedTownBefore |
P86878
|
FINISHED |
| Object | Newark North Gate railway station |
—
|
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: Newark North Gate railway station | Statement: [Newark railway station (former GNR), servedTownBefore, Newark North Gate railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedTownBefore Context triple: [Newark railway station (former GNR), servedTownBefore, Newark North Gate railway station]
-
A.
servedCity
Indicates that a service, route, or facility operates in, reaches, or is available to a particular city.
-
B.
servedTownType
Indicates the type or category of town that is served or covered by a given service, facility, or entity.
-
C.
townServed
Indicates that a given service, facility, or infrastructure serves or provides coverage to a particular town.
-
D.
hasCityServedSuccessor
chosen
Indicates that one city served by a service, role, or entity is the successor to another previously served city in that same context.
-
E.
hasTown
Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
- 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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffe12ee59c8190bc7da386e6d5332d |
completed | May 10, 2026, 1:36 a.m. |
| PD | Predicate disambiguation | batch_69ffe0a138bc8190a3d4b48cd579e985 |
completed | May 10, 2026, 1:34 a.m. |
Created at: May 3, 2026, 4 p.m.