Triple

T35547025
Position Surface form Disambiguated ID Type / Status
Subject Mei Foo station E1027245 entity
Predicate hasFormerChineseName P196719 FINISHED
Object 美孚
美孚是香港九龍荔枝角一帶的地名與住宅區名稱，亦因鄰近同名地鐵站而廣為人知。
 E2145832 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: 美孚 | Statement: [Mei Foo station, hasFormerChineseName, 美孚]
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: 美孚
Triple: [Mei Foo station, hasFormerChineseName, 美孚]
Generated description
美孚是香港九龍荔枝角一帶的地名與住宅區名稱，亦因鄰近同名地鐵站而廣為人知。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFormerChineseName
Context triple: [Mei Foo station, hasFormerChineseName, 美孚]
  • A. hasFormerRomanization
    Indicates that an entity was previously written or represented using an earlier or superseded system of Romanized spelling.
  • B. hasChineseNameType
    Indicates that an entity’s Chinese name belongs to a particular type or category (e.g., formal, short, transliterated).
  • C. ChineseNameTraditional
    Indicates that an entity’s name is given in traditional Chinese characters.
  • D. hasEthnonymInChinese
    Indicates that an entity has a specific ethnonym (name for an ethnic group or people) expressed in the Chinese language.
  • E. hasTraditionalName
    Indicates that an entity is associated with a name traditionally used or recognized for it, often rooted in long-standing cultural or historical practice.
  • F. None of above. chosen

Provenance (7 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_69f76e008ba08190927acd8e5e0344c8 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fe629b4fa481908467c7c41b77f0c6 completed May 8, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3852ef15648190be334b80d011ee4c completed June 21, 2026, 9:09 p.m.
NEDg Description generation batch_6a38545a48a881909970b888d152b021 completed June 21, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_6a3854efb9dc8190af96eba84b8b0bc1 completed June 21, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69fe61bb260c819083f9378a3a06ca47 completed May 8, 2026, 10:20 p.m.
PDg Predicate description generation batch_69fe629a8d4c8190b4aa4dee39efc0a6 completed May 8, 2026, 10:24 p.m.
Created at: May 3, 2026, 4:04 p.m.