Triple

T2327796
Position Surface form Disambiguated ID Type / Status
Subject Saitama Prefecture E48329 entity
Predicate hasCity P316 FINISHED
Object Hanno
Hanno is a city in Saitama Prefecture, Japan, known for its natural scenery, hiking spots, and proximity to the Tokyo metropolitan area.
E255182 NE FINISHED

How this triple was built (4 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: Hanno | Statement: [Saitama Prefecture, hasCity, Hanno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanno
Context triple: [Saitama Prefecture, hasCity, Hanno]
  • A. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • B. Nolano
    Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
  • C. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • D. Martunashen
    Martunashen is a village in the disputed Nagorno-Karabakh region, known for being one of the sites affected by the Soviet Azerbaijani security forces’ Operation Ring in 1991.
  • E. Hyllus
    Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hanno
Triple: [Saitama Prefecture, hasCity, Hanno]
Generated description
Hanno is a city in Saitama Prefecture, Japan, known for its natural scenery, hiking spots, and proximity to the Tokyo metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hanno
Target entity description: Hanno is a city in Saitama Prefecture, Japan, known for its natural scenery, hiking spots, and proximity to the Tokyo metropolitan area.
  • A. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • B. Nolano
    Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
  • C. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • D. Martunashen
    Martunashen is a village in the disputed Nagorno-Karabakh region, known for being one of the sites affected by the Soviet Azerbaijani security forces’ Operation Ring in 1991.
  • E. Hyllus
    Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
  • F. None of above. chosen

Provenance (5 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc64c7f1881909b0d847f7782e803 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae897243c48190a18b0e02ad664ead completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8ace309c8190b57426d1449de723 completed March 9, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae8b56d8548190aa6a99f3f7d99c3e completed March 9, 2026, 8:56 a.m.
Created at: March 4, 2026, 7:50 p.m.