Triple

T539961
Position Surface form Disambiguated ID Type / Status
Subject Strasbourg E12607 entity
Predicate twinCity P1072 FINISHED
Object Fez E12903 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: Fez | Statement: [Strasbourg, twinCity, Fez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fez
Context triple: [Strasbourg, twinCity, Fez]
  • A. Fez chosen
    Fez is a historic imperial city in northern Morocco renowned for its well-preserved medieval medina, traditional craftsmanship, and status as a major cultural and religious center.
  • B. Kalorama
    Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
  • C. Ciudad de los Reyes
    Ciudad de los Reyes is the historical name of Lima, the capital and largest city of Peru, founded by the Spanish in the 16th century.
  • D. Valmur
    Valmur is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing powerful, age-worthy Chardonnay wines.
  • E. Radiant City
    Radiant City is Le Corbusier’s influential modernist urban planning vision that proposed high-density towers set in open green spaces, strict zoning, and car-oriented infrastructure to create an ordered, efficient city.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985e51908190a34aa82ea9dbee1e completed March 1, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c671eaac8190a4bc731a02a5b0e8 completed March 1, 2026, 11:06 p.m.
Created at: March 1, 2026, 7:32 p.m.