Triple

T11089684
Position Surface form Disambiguated ID Type / Status
Subject Holy Name Medical Center E262217 entity
Predicate city P40 FINISHED
Object Teaneck E46356 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: Teaneck | Statement: [Holy Name Medical Center, city, Teaneck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teaneck
Context triple: [Holy Name Medical Center, city, Teaneck]
  • A. Teaneck, New Jersey chosen
    Teaneck, New Jersey is a suburban township in Bergen County known for its diverse community, residential character, and proximity to New York City.
  • B. Hackensack
    Hackensack were a Lenape Native American group from the region of present-day northern New Jersey, known for their involvement in early 17th-century conflicts with Dutch colonists.
  • C. Montclair
    Montclair is a residential, hillside neighborhood in Oakland, California, known for its wooded canyons, winding streets, and small village-style commercial district.
  • D. Montclair
    Montclair is a city in southwestern San Bernardino County, California, located in the Pomona Valley region of the Greater Los Angeles area.
  • E. Vineland, New Jersey
    Vineland, New Jersey is a small city in Cumberland County known for its agricultural roots, food processing industry, 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799e96ca08190838c8a04d1eb2a16 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e8a68e4404819096c5023c7eca4b6a completed April 22, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:27 p.m.