Triple

T20190762
Position Surface form Disambiguated ID Type / Status
Subject Mabel E492971 entity
Predicate hasShopLocation P100211 FINISHED
Object player’s town 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: player’s town | Statement: [Mabel, hasShopLocation, player’s town]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasShopLocation
Context triple: [Mabel, hasShopLocation, player’s town]
  • A. hasStoreLocation chosen
    Indicates that an entity operates or maintains a store at a specified physical location.
  • B. hasShop
    Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
  • C. hasShopsOn
    Indicates that one entity (typically a street, area, or building) contains or is lined with shops located on or along it.
  • D. hasFacilityLocation
    Indicates that an entity possesses or is associated with a facility situated at a specific location.
  • E. hasRetailPresenceIn
    Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad593f88190a1e534fed38b3cd7 completed April 20, 2026, 6:05 p.m.
PD Predicate disambiguation batch_69e55b11124c8190babacf2a0fe2d057 completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:37 p.m.