Triple

T9032299
Position Surface form Disambiguated ID Type / Status
Subject Mon E216400 entity
Predicate partOf P40 FINISHED
Object Mon district E772436 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: Mon district | Statement: [Mon, partOf, Mon district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mon district
Context triple: [Mon, partOf, Mon district]
  • A. Mon district chosen
    Mon district is an administrative district in the northeastern part of Nagaland, India, known for its hilly terrain and predominantly Konyak Naga population.
  • B. Raouché district
    Raouché district is a coastal neighborhood in Beirut, Lebanon, best known for its seaside promenade and iconic offshore rock formations that attract locals and tourists alike.
  • C. Belval district
    Belval district is a modern urban quarter in Esch-sur-Alzette, Luxembourg, known for its transformation from a former steelworks site into a major hub for education, research, business, and culture.
  • D. Stade district
    Stade district is a rural administrative district in Lower Saxony, Germany, located along the Elbe River northwest of Hamburg and known for its historic towns and fruit-growing region.
  • E. Anci District
    Anci District is an administrative urban district within the prefecture-level city of Langfang in Hebei Province, northern China.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6aa0c89c81909792190f08fef8df completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffda9697c81908a1a9e447519ce05 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:08 p.m.