Triple

T13513070
Position Surface form Disambiguated ID Type / Status
Subject Gubeikou Pass E322686 entity
Predicate ChineseName P744 FINISHED
Object 古北口
古北口是位于北京市密云区、以长城关隘和古代军事要塞著称的历史山口与古镇。
E1044950 NE FINISHED

How this triple was built (4 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: 古北口 | Statement: [Gubeikou Pass, ChineseName, 古北口]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 古北口
Context triple: [Gubeikou Pass, ChineseName, 古北口]
  • A. 居庸关
    居庸关是位于北京西北部、长城要冲之一的著名古代关隘和军事防御要地。
  • B. 安定门
    安定门是北京旧城北部的一座历史城门遗址及地名,现为重要交通枢纽和地标区域。
  • C. 崇文门
    崇文门是北京明清时期内城东南部的一座重要城门遗址及地名,如今也是地铁与商业区的交通枢纽。
  • D. 朝天门
    朝天门 is a historic and iconic riverfront gate area in Chongqing, China, located at the confluence of the Yangtze and Jialing rivers and known today as a major transportation and commercial hub.
  • E. 溪口
    溪口是位于中国浙江省奉化区的一个历史悠久的小镇,以自然风光和民俗文化闻名。
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 古北口
Triple: [Gubeikou Pass, ChineseName, 古北口]
Generated description
古北口是位于北京市密云区、以长城关隘和古代军事要塞著称的历史山口与古镇。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 古北口
Target entity description: 古北口是位于北京市密云区、以长城关隘和古代军事要塞著称的历史山口与古镇。
  • A. 居庸关
    居庸关是位于北京西北部、长城要冲之一的著名古代关隘和军事防御要地。
  • B. 安定门
    安定门是北京旧城北部的一座历史城门遗址及地名,现为重要交通枢纽和地标区域。
  • C. 崇文门
    崇文门是北京明清时期内城东南部的一座重要城门遗址及地名,如今也是地铁与商业区的交通枢纽。
  • D. 朝天门
    朝天门 is a historic and iconic riverfront gate area in Chongqing, China, located at the confluence of the Yangtze and Jialing rivers and known today as a major transportation and commercial hub.
  • E. 溪口
    溪口是位于中国浙江省奉化区的一个历史悠久的小镇,以自然风光和民俗文化闻名。
  • F. None of above. chosen

Provenance (5 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf87ca288190a147fbdb2f90985f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75492676c81909602745e2b6436cb completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f7555173d08190be887e81c148192e completed May 3, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69f756773b9c81908250ae7ffc2d8d99 completed May 3, 2026, 2:06 p.m.
Created at: April 9, 2026, 9:44 p.m.