Triple

T13870719
Position Surface form Disambiguated ID Type / Status
Subject canton of Yutz E333440 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Fixem E949222 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: Fixem | Statement: [canton of Yutz, containsAdministrativeTerritorialEntity, Fixem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fixem
Context triple: [canton of Yutz, containsAdministrativeTerritorialEntity, Fixem]
  • A. Fixem chosen
    Fixem is a small commune in northeastern France, situated within the Moselle department in the Grand Est region.
  • B. Fixin
    Fixin is a Burgundy wine appellation in eastern France known for its robust red wines made primarily from Pinot Noir.
  • C. Fix
    Fix is a surname most notably associated with American character actor Paul Fix, known for his extensive work in Western films and television.
  • D. The Fix
    The Fix is a critically acclaimed 2002 hip-hop album by American rapper Scarface, noted for its introspective lyrics and soulful, polished production.
  • E. The Fix
    The Fix is a television drama series starring Robin Tunney as a former prosecutor seeking justice and redemption in a high-profile murder case.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c638248190bbe5d19f7b88d0f9 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c105da548190b908a54fec029236 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.