Triple
T1760217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newark |
E38639
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object | Vailsburg |
E161026
|
NE 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: Vailsburg | Statement: [Newark, hasNeighborhood, Vailsburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vailsburg Context triple: [Newark, hasNeighborhood, Vailsburg]
-
A.
Vailsburg
chosen
Vailsburg is a primarily residential neighborhood in the West Ward of Newark, New Jersey, known for its diverse community and tree-lined streets.
-
B.
Fair Haven
Fair Haven is a historic, traditionally working-class waterfront neighborhood in eastern New Haven, Connecticut, known for its diverse community and maritime roots along the Quinnipiac River.
-
C.
Perth Amboy
Perth Amboy is a historic port city in central New Jersey that served as one of the colonial capitals of the Province of New Jersey.
-
D.
Woodhaven
Woodhaven is a residential neighborhood in the borough of Queens, New York City, known for its diverse community and proximity to major transit lines and Forest Park.
-
E.
Vineland
Vineland is a small city in Cumberland County, New Jersey, known for its agricultural roots and role as a regional commercial center in South Jersey.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64410b58819098be7dc5da23d7af |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1b679d88190b3c6e50c96f917e4 |
completed | March 8, 2026, 7:44 p.m. |
Created at: March 4, 2026, 7:31 p.m.