Triple

T15688224
Position Surface form Disambiguated ID Type / Status
Subject Japanese occupation of Rehe E380256 entity
Predicate historicalRegionAffected P8692 FINISHED
Object Rehe E380255 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: Rehe | Statement: [Japanese occupation of Rehe, historicalRegionAffected, Rehe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rehe
Context triple: [Japanese occupation of Rehe, historicalRegionAffected, Rehe]
  • A. Rehe chosen
    Rehe was a historical province in northeastern China that served as a strategic frontier region between the Great Wall and Manchuria.
  • B. Reh
    Reh is a major traditional festival of the Idu Mishmi tribe in Arunachal Pradesh, celebrated with elaborate rituals, dances, and communal feasting to honor deities and seek prosperity.
  • C. Rhees
    Rhees is a surname of Welsh origin borne by various notable individuals in fields such as philosophy, education, and public service.
  • D. Reen
    Reen is a shortened or familiar form of the given name Maureen.
  • E. Reest
    Reest is a small river in the northeastern Netherlands that flows through the province of Drenthe and forms part of the border with Overijssel.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4cee5481908699fbb2b7bdd2f6 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff756ffcc88190a72440c7b40711ff completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:44 a.m.