Triple
T3755294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town Center |
E82030
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | West Side |
unclear NED1
|
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: West Side | Statement: [Town Center, connectedTo, West Side]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Side Context triple: [Town Center, connectedTo, West Side]
-
A.
West Side
West Side is a primarily residential neighborhood in Jersey City, New Jersey, known for its diverse community and proximity to Lincoln Park.
-
B.
West Side
West Side is an entertainment-focused district within Disney Springs featuring restaurants, shops, and attractions.
-
C.
West Side
West Side is a residential and commercial district of the city of Saint John, New Brunswick, located across the harbor from its historic uptown core.
-
D.
East Side
East Side is a major residential and commercial district of Saint John, New Brunswick, known for its shopping areas and suburban neighborhoods.
-
E.
Westside
Westside is a neighborhood or district within a metropolitan area that is integrated into the local public transit network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb96dd908190b787b112ecd519df |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f02fb680819092ea86040b4b5bcf |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:35 p.m.