Triple

T625687
Position Surface form Disambiguated ID Type / Status
Subject Roosevelt Field Mall E15812 entity
Predicate rankingBySizeInNewYorkState P17848 FINISHED
Object one of the largest shopping malls in New York State LITERAL 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: one of the largest shopping malls in New York State | Statement: [Roosevelt Field Mall, rankingBySizeInNewYorkState, one of the largest shopping malls in New York State]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankingBySizeInNewYorkState
Context triple: [Roosevelt Field Mall, rankingBySizeInNewYorkState, one of the largest shopping malls in New York State]
  • A. populationRankInNewJersey
    Indicates the relative position of an entity in terms of population size compared to other entities within New Jersey.
  • B. areaRankInUS
    Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
  • C. largestBoroughBy
    Indicates that one borough is the largest among a set of boroughs according to a specified criterion (such as area or population).
  • D. areaRank
    Indicates the relative ordering or position of an entity based on the size of its area compared to others.
  • E. rankByPopulationInUS
    Indicates the relative ordering of entities based on the size of their populations within the United States.
  • F. None of above. chosen

Provenance (4 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e574444819087999404f3e3ffd9 completed March 1, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69a49d0069d0819087c83b608f6fc053 completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a49e2107548190af0c1d67cfa475d1 completed March 1, 2026, 8:14 p.m.
Created at: March 1, 2026, 7:35 p.m.