Triple

T6745780
Position Surface form Disambiguated ID Type / Status
Subject Pier A Park E154207 entity
Predicate owner P347 FINISHED
Object City of Hoboken E18280 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: City of Hoboken | Statement: [Pier A Park, owner, City of Hoboken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Hoboken
Context triple: [Pier A Park, owner, City of Hoboken]
  • A. West Hoboken, New Jersey
    West Hoboken, New Jersey was a former Hudson County municipality that was eventually consolidated into what is now Union City.
  • B. Hoboken chosen
    Hoboken is a small New Jersey city across the Hudson River from Manhattan, known for its waterfront views, historic brownstones, and vibrant dining and nightlife scene.
  • C. Hoboken
    Hoboken is a district of the Belgian city of Antwerp, known for its residential character and industrial areas along the Scheldt River.
  • D. Weehawken, New Jersey
    Weehawken, New Jersey is a small township on the Hudson River waterfront opposite Midtown Manhattan, known for its dramatic skyline views and historic Hamilton–Burr duel site.
  • E. Fair Haven, New Jersey
    Fair Haven, New Jersey is a small, affluent suburban borough in Monmouth County known for its residential character and proximity to the Navesink River.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1b74ae081908575c4e47c0ef297 completed March 27, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712a4de8c819090bdc94529f4f9d8 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:10 p.m.