Triple

T35737156
Position Surface form Disambiguated ID Type / Status
Subject 千佛山 E1032919 entity
Predicate 别名 P39 FINISHED
Object 历山
历山是位于中国山东省济南市的一座历史文化名山，以自然景观与佛教文化遗迹闻名。
 E2153154 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: 历山 | Statement: [千佛山, 别名, 历山]
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: 历山
Triple: [千佛山, 别名, 历山]
Generated description
历山是位于中国山东省济南市的一座历史文化名山，以自然景观与佛教文化遗迹闻名。

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_69f76e10e59081908d81ad9ce22f40b6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a166f4e88190b1d2cd8f3e0fcf50 completed May 3, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a387d2304408190b1220cc03d5ba2c2 completed June 22, 2026, 12:09 a.m.
NEDg Description generation batch_6a387f0e8ca88190b2542f3e8bb09305 completed June 22, 2026, 12:17 a.m.
NED2 Entity disambiguation (via description) batch_6a387f873ab08190a7e792db20e86743 completed June 22, 2026, 12:19 a.m.
Created at: May 3, 2026, 4:05 p.m.