Triple

T17102396
Position Surface form Disambiguated ID Type / Status
Subject Tama area E415010 entity
Predicate hasPart P35 FINISHED
Object Fussa E458836 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: Fussa | Statement: [Tama area, hasPart, Fussa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fussa
Context triple: [Tama area, hasPart, Fussa]
  • A. Fussa chosen
    Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
  • B. Yussois
    Yussois is the French demonym for inhabitants of the town of Yutz in northeastern France.
  • C. Fata
    Fata are the Roman personifications of fate, equivalent to the Parcae, who determine the destinies and lifespans of humans and gods.
  • D. Muravera
    Muravera is a coastal town and municipality in southeastern Sardinia, Italy, known for its citrus production and nearby beaches.
  • E. Pianiga
    Pianiga is a municipality in the Veneto region of northeastern Italy, situated on the mainland near Venice.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc239a088190a776fe0f4361ffc7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fdda488190a1ca5c7ca875e044 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.