Triple

T17353348
Position Surface form Disambiguated ID Type / Status
Subject Aventura Mall E421866 entity
Predicate hasRetailer P15696 FINISHED
Object Cartier NE ONNED1

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: Cartier | Statement: [Aventura Mall, hasRetailer, Cartier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cartier
Context triple: [Aventura Mall, hasRetailer, Cartier]
  • A. Cartier chosen
    Cartier is a renowned French luxury jewelry and watchmaker celebrated worldwide for its high-end timepieces, fine jewelry, and iconic designs.
  • B. Chopard
    Chopard is a Swiss luxury watch and jewelry manufacturer renowned for its high-end timepieces, fine jewelry, and long-standing association with prestigious events like the Cannes Film Festival.
  • C. Chaumet
    Chaumet is a historic French high jewelry and watchmaking house renowned for its exquisite tiaras and fine craftsmanship.
  • D. Boucheron
    Boucheron is a historic French luxury jewelry and watchmaking house renowned for its high-end, artistic designs and craftsmanship.
  • E. Van Cleef
    Van Cleef is the surname of Lee Van Cleef, the American actor famed for his villainous roles in classic Western films such as "The Good, the Bad and the Ugly."
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2e660c81908700aed5c42e9043 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955a50dc819090c1a0ec111d9fc0 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.