Triple

T9350971
Position Surface form Disambiguated ID Type / Status
Subject County of Hanau E225016 entity
Predicate hasCenter P35 FINISHED
Object town of Hanau E289017 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: town of Hanau | Statement: [County of Hanau, hasCenter, town of Hanau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Hanau
Context triple: [County of Hanau, hasCenter, town of Hanau]
  • A. Hanau, Hesse-Kassel
    Hanau, Hesse-Kassel was a historic town and county in the Landgraviate of Hesse-Kassel in what is now central Germany.
  • B. Old Town of Hanau
    The Old Town of Hanau is the historic core of the German city of Hanau, characterized by its traditional urban layout, heritage buildings, and central role in the city’s cultural and historical identity.
  • C. County of Hanau
    The County of Hanau was a historical territorial state within the Holy Roman Empire, centered around the town of Hanau in present-day Hesse, Germany.
  • D. Hanau chosen
    Hanau is a town in the German state of Hesse, known as an important regional center and the birthplace of the Brothers Grimm.
  • E. Gräfenhausen
    Gräfenhausen is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f9248c08190a7bb40feec2eb217 completed April 1, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e445c5308190be122215c92fd03d completed April 4, 2026, 10:13 a.m.
Created at: March 30, 2026, 7:41 p.m.