Triple

T26815979
Position Surface form Disambiguated ID Type / Status
Subject Lantau Peak E675121 entity
Predicate chineseNameSimplified P6283 FINISHED
Object 凤凰山
凤凰山是香港大屿山上的第二高峰，以壮丽日出和远足登山路线闻名。
 E1741915 NE FINISHED

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: 凤凰山 | Statement: [Lantau Peak, chineseNameSimplified, 凤凰山]
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: 凤凰山
Triple: [Lantau Peak, chineseNameSimplified, 凤凰山]
Generated description
凤凰山是香港大屿山上的第二高峰，以壮丽日出和远足登山路线闻名。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: chineseNameSimplified
Context triple: [Lantau Peak, chineseNameSimplified, 凤凰山]
  • A. ChineseNameSimplified chosen
    Indicates that an entity’s name is given in simplified Chinese characters.
  • B. characterUnicodeSimplified
    Indicates that one entity is the simplified-Unicode character form corresponding to another character entity.
  • C. ChineseNameTraditional
    Indicates that an entity’s name is given in traditional Chinese characters.
  • D. nameInChinese
    Indicates that an entity has a specific written name or label expressed in the Chinese language.
  • E. ChinesePinyin
    Indicates that one entity is the Chinese pinyin (romanized phonetic transcription) representation of another entity.
  • F. None of above.

Provenance (6 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_69eee9b6b28481909332f83eb17e5170 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61fd623bc819091df736cf3419b99 completed May 2, 2026, 4:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12097909c08190ad68858afa30a187 completed May 23, 2026, 8:09 p.m.
NEDg Description generation batch_6a120a8e2edc8190891be0f695a8c0e1 completed May 23, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_6a120b9ce700819089a799bf42cbbac9 completed May 23, 2026, 8:18 p.m.
PD Predicate disambiguation batch_69f61b3d23f481908dfec27adace900a completed May 2, 2026, 3:41 p.m.
Created at: April 27, 2026, 4:52 a.m.