Triple

T15744003
Position Surface form Disambiguated ID Type / Status
Subject Associated Dry Goods E381671 entity
Predicate owned P347 FINISHED
Object Foley’s E519531 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: Foley’s | Statement: [Associated Dry Goods, owned, Foley’s]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foley’s
Context triple: [Associated Dry Goods, owned, Foley’s]
  • A. Foley's chosen
    Foley's was a regional department store chain in the United States, primarily based in Texas and the Southwest, that was eventually absorbed into the Macy's brand.
  • B. Foley
    Foley is a common Irish surname historically associated with families from County Waterford and surrounding regions.
  • C. Foley
    Foley is a small city in southern Alabama known for its proximity to Gulf Coast beaches and its role as a regional shopping and tourism hub.
  • D. Fink
    Fink is a British singer-songwriter and producer known for his atmospheric blend of folk, blues, and electronic music.
  • E. Fink
    Fink is an open-source package management system that brings a wide range of Unix and open-source software to macOS by compiling and distributing it in a convenient, Debian-like format.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502c0c3c8190b8e512df307039c1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876b7fd081909d84ebe7a4cdb675 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:46 a.m.