Triple

T9012457
Position Surface form Disambiguated ID Type / Status
Subject Teochew people E215507 entity
Predicate majorSettlement P316 FINISHED
Object Puning E441740 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: Puning | Statement: [Teochew people, majorSettlement, Puning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puning
Context triple: [Teochew people, majorSettlement, Puning]
  • A. Siping
    Siping is a prefecture-level city in northeastern China known for its agricultural base and strategic location within Jilin Province.
  • B. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • C. Püning chosen
    Püning is a place name that appears as an alternative transliteration of "Puening," likely referring to a locality or settlement whose spelling varies between languages or writing systems.
  • D. Zao Town
    Zao Town is a rural Japanese town known for its hot springs, ski resorts, and scenic volcanic landscapes in northeastern Honshu.
  • E. Butuan City
    Butuan City is a highly urbanized and historically significant city in the Caraga region of Mindanao in the Philippines, known as a commercial hub and an important archaeological and cultural center.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69f846f88190af65dfcf8bdd936a completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba11a6481909cac624530a77ffe completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:06 p.m.