Triple

T13851131
Position Surface form Disambiguated ID Type / Status
Subject Shuozhou E332942 entity
Predicate borderedBy P224 FINISHED
Object Ulanqab E205471 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: Ulanqab | Statement: [Shuozhou, borderedBy, Ulanqab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulanqab
Context triple: [Shuozhou, borderedBy, Ulanqab]
  • A. Ulanqab chosen
    Ulanqab is a prefecture-level city in central Inner Mongolia, China, known for its grassland landscapes, agriculture, and strategic position as a transportation hub.
  • B. Selenge
    Selenge is a northern Mongolian province (aimag) known for its agricultural lands and strategic location along the border with Russia.
  • C. Хан-Уул дүүрэг
    Хан-Уул дүүрэг is one of the central districts of Ulaanbaatar, Mongolia, known for encompassing both urban neighborhoods and parts of the Bogd Khan Mountain national park area.
  • D. Khorol
    Khorol is a town in central Ukraine historically situated within the former Poltava Governorate of the Russian Empire.
  • E. Öndörkhaan, Mongolia
    Öndörkhaan is a town in eastern Mongolia known historically as the site where Chinese marshal Lin Biao died in a 1971 plane crash.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02d8fb788190baef7537be2baecb completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f73838819085d6f052c00fc494 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.