Triple

T7011556
Position Surface form Disambiguated ID Type / Status
Subject Bogor Station E162593 entity
Predicate hasStationCode P1289 FINISHED
Object BOO
BOO is the official station code for Bogor Station, a major railway hub in Bogor, West Java, Indonesia.
 E634874 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: BOO | Statement: [Bogor Station, hasStationCode, BOO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BOO
Context triple: [Bogor Station, hasStationCode, BOO]
  • A. BOO
    BOO is the IATA airport code for Bodø Airport, which serves the town of Bodø in northern Norway.
  • B. Boo
    Boo is a suburban district and island area in the Stockholm archipelago, located within Nacka Municipality in Sweden.
  • C. Boo
    Boo is a statically typed, Python-inspired programming language for the .NET platform that was once used as a primary scripting option in the Unity game engine.
  • D. Boo
    Boo is the young human girl in Pixar's animated film "Monsters, Inc." whose unexpected arrival in the monster world drives the story's central conflict and emotional core.
  • E. Boo
    Boo is a recurring ghost-like enemy in the Super Mario series, known for covering its face when looked at and attacking when the player’s back is turned.
  • 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: BOO
Triple: [Bogor Station, hasStationCode, BOO]
Generated description
BOO is the official station code for Bogor Station, a major railway hub in Bogor, West Java, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BOO
Target entity description: BOO is the official station code for Bogor Station, a major railway hub in Bogor, West Java, Indonesia.
  • A. BOO
    BOO is the IATA airport code for Bodø Airport, which serves the town of Bodø in northern Norway.
  • B. Boo
    Boo is a suburban district and island area in the Stockholm archipelago, located within Nacka Municipality in Sweden.
  • C. Boo
    Boo is a statically typed, Python-inspired programming language for the .NET platform that was once used as a primary scripting option in the Unity game engine.
  • D. Boo
    Boo is the young human girl in Pixar's animated film "Monsters, Inc." whose unexpected arrival in the monster world drives the story's central conflict and emotional core.
  • E. Boo
    Boo is a recurring ghost-like enemy in the Super Mario series, known for covering its face when looked at and attacking when the player’s back is turned.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc5729448190af66dbd6f3e8936e completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a4bd424819097e1543ec59979ff completed March 28, 2026, 5:42 a.m.
NEDg Description generation batch_69c76b1ef6f481908f4c4f610328f633 completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76c01679c8190b61f642c23c25ed5 completed March 28, 2026, 5:49 a.m.
Created at: March 27, 2026, 2:34 p.m.