Triple

T16291202
Position Surface form Disambiguated ID Type / Status
Subject Invasion of Rehe E395525 entity
Predicate location P40 FINISHED
Object Rehe Province E1174368 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 Province | Statement: [Invasion of Rehe, location, Rehe Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rehe Province
Context triple: [Invasion of Rehe, location, Rehe Province]
  • A. Rehe Province chosen
    Rehe Province was a former northeastern Chinese province bordering Manchuria and Inner Mongolia that became a key battleground and occupation zone during Japan’s expansion in the 1930s.
  • B. Bié Province
    Bié Province is a central Angolan province known for its highland terrain, agricultural activity, and strategic location bordering several other provinces.
  • C. Kansu
    Kansu is a Turkish surname most notably associated with Şevket Aziz Kansu, a prominent Turkish academic and anthropologist.
  • D. Lau Province
    Lau Province is a remote island province of Fiji comprising the Lau Islands in the country’s eastern maritime region.
  • E. Huari Province
    Huari Province is an administrative division in the Ancash Region of central Peru, known for encompassing the important archaeological site of Chavín de Huántar.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2491821d0819086cffdd7551ba85a completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f97895081909f22ded3507afe14 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:05 a.m.