Triple

T15273334
Position Surface form Disambiguated ID Type / Status
Subject Faust E365072 entity
Predicate associatedAct P37 FINISHED
Object Ulan Bator E24958 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: Ulan Bator | Statement: [Faust, associatedAct, Ulan Bator]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulan Bator
Context triple: [Faust, associatedAct, Ulan Bator]
  • A. Ulaanbaatar chosen
    Ulaanbaatar is the capital and largest city of Mongolia, serving as its political, economic, and cultural center.
  • B. Ulanhot
    Ulanhot is a county-level city in northeastern Inner Mongolia, China, known as a regional political and economic center and as the birthplace of the Inner Mongolia Autonomous Region.
  • C. Ulaangom
    Ulaangom is a small provincial capital in northwestern Mongolia, known for its remote location near the Russian border and Lake Uvs.
  • D. Xilinhot
    Xilinhot is a city in Inner Mongolia, China, known as an important regional center on the Xilingol grasslands with a strong pastoral and Mongolian cultural heritage.
  • E. Hohhot
    Hohhot is the capital and largest city of Inner Mongolia in northern China, known as a regional center of politics, culture, and industry.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00950a9988190b67dfbc73b8bdbbc completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee6069f488190b74793200e5698ff completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.