Triple

T35615788
Position Surface form Disambiguated ID Type / Status
Subject Nam Cheong station E1029159 entity
Predicate adjacentStationOnTuenMaLine P191922 FINISHED
Object Mei Foo station
Mei Foo station is an MTR interchange station in Hong Kong serving the Mei Foo Sun Chuen residential area and connecting multiple urban rail lines.
 E2274319 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: Mei Foo station | Statement: [Nam Cheong station, adjacentStationOnTuenMaLine, Mei Foo station]
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: Mei Foo station
Triple: [Nam Cheong station, adjacentStationOnTuenMaLine, Mei Foo station]
Generated description
Mei Foo station is an MTR interchange station in Hong Kong serving the Mei Foo Sun Chuen residential area and connecting multiple urban rail lines.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: adjacentStationOnTuenMaLine
Context triple: [Nam Cheong station, adjacentStationOnTuenMaLine, Mei Foo station]
  • A. adjacentStationOnTanimachiLine
    Indicates that one station is directly next to another station along the Tanimachi subway line.
  • B. adjacentStationOnDenEnToshiLine
    Indicates that one station is directly next to another station along the Den-en-toshi railway line, with no other stations in between.
  • C. adjacentStationOnTsurumaiLine
    Indicates that one station is directly next to another station along the Tsurumai railway line, with no other stations in between.
  • D. adjacentStationOnKarasumaLine
    Indicates that one station is directly next to another station along the Karasuma railway line.
  • E. adjacentStationOnSennichimaeLine
    Indicates that one station is directly next to another station along the Sennichimae railway line.
  • 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_69f76e0709408190bbe322bf1707ef6b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcef654d588190b29ecc76678d1aa0 completed May 7, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41e006cf0c819081e9867caed221e3 completed June 29, 2026, 3:01 a.m.
NEDg Description generation batch_6a41e0dc929c8190ba87f8433ad2f9a4 completed June 29, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a41e1631740819093f8e3d82b8f8ac3 completed June 29, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69fcecdb97f48190b382b7d13be92dc0 completed May 7, 2026, 7:49 p.m.
PDg Predicate description generation batch_69fcef636dfc819085cf91323f2e4edd completed May 7, 2026, 8 p.m.
Created at: May 3, 2026, 4:05 p.m.