Triple

T22258623
Position Surface form Disambiguated ID Type / Status
Subject May Fourth Square E550156 entity
Predicate ChineseName P744 FINISHED
Object 五四广场 — NE NERFINISHED

How this triple was built (3 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: 五四广场 | Statement: [May Fourth Square, ChineseName, 五四广场]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 五四广场
Context triple: [May Fourth Square, ChineseName, 五四广场]
  • A. 世纪公园
    世纪公园是位于中国上海浦东新区的一座大型城市综合公园，以广阔的绿地、湖泊和休闲设施著称。
  • B. 北海公园
    北海公园是位于北京市中心、以皇家园林景观和历史文化遗迹著称的大型古典园林公园。
  • C. 万达广场
    万达广场是由大连万达集团在中国各大城市开发运营的大型城市综合体与购物中心连锁品牌。
  • D. 天安门
    天安门是位于北京市中心、作为中国象征性地标和重要政治历史事件发生地的著名城门与广场名称。
  • E. 地坛公园
    地坛公园是位于北京市东城区、以明清祭地坛遗址为核心的历史文化公园和城市绿地。
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 五四广场
Target entity description: 五四广场是位于中国山东省青岛市海滨的一座大型城市广场，以纪念“五四运动”而建，并以标志性雕塑“五月的风”和海景观光闻名。
  • A. 世纪公园
    世纪公园是位于中国上海浦东新区的一座大型城市综合公园，以广阔的绿地、湖泊和休闲设施著称。
  • B. 北海公园
    北海公园是位于北京市中心、以皇家园林景观和历史文化遗迹著称的大型古典园林公园。
  • C. 万达广场
    万达广场是由大连万达集团在中国各大城市开发运营的大型城市综合体与购物中心连锁品牌。
  • D. 天安门
    天安门是位于北京市中心、作为中国象征性地标和重要政治历史事件发生地的著名城门与广场名称。
  • E. 地坛公园
    地坛公园是位于北京市东城区、以明清祭地坛遗址为核心的历史文化公园和城市绿地。
  • F. None of above. chosen

Provenance (2 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c4bff48190b4be83f5f7677ac8 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.