Triple

T25415991
Position Surface form Disambiguated ID Type / Status
Subject Melrose E636833 entity
Predicate isPrimarilyCommercial P125948 FINISHED
Object true 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: true | Statement: [Melrose, isPrimarilyCommercial, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPrimarilyCommercial
Context triple: [Melrose, isPrimarilyCommercial, true]
  • A. isPrimaryCommercialAreaOf
    Indicates that one area serves as the main center of commercial activity for another specified place or region.
  • B. hasCommercialFunction
    Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
  • C. isPrimarilyUsedAs chosen
    Indicates that one entity serves mainly or most commonly in the role, function, or purpose specified by the other entity.
  • D. isCommercialCommunityFor
    Indicates a relationship where one entity serves as the primary commercial hub or marketplace community for another entity (such as a product, brand, or user group).
  • E. hasCommercialField
    Indicates that one entity possesses or is associated with a commercial-related field, area, or domain in relation to another entity.
  • F. None of above.

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_69e75db4135881909acc287ebcb7a505 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f661b58ac48190907b6c6e9ccc2c59 completed May 2, 2026, 8:42 p.m.
PD Predicate disambiguation batch_69f660eea4648190b0d5e24293607813 completed May 2, 2026, 8:39 p.m.
Created at: April 21, 2026, 1:55 p.m.