Triple

T10958151
Position Surface form Disambiguated ID Type / Status
Subject Kuala Lumpur City Hall E258898 entity
Predicate shortName P43 FINISHED
Object KL City Hall
KL City Hall is the municipal government authority responsible for administering and managing the city of Kuala Lumpur, Malaysia.
 E896679 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: KL City Hall | Statement: [Kuala Lumpur City Hall, shortName, KL City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KL City Hall
Context triple: [Kuala Lumpur City Hall, shortName, KL City Hall]
  • A. Kutaisi City Hall
    Kutaisi City Hall is the main municipal government building and administrative center for the city of Kutaisi in Georgia.
  • B. Gary City Hall
    Gary City Hall is the historic municipal government building serving as the administrative center of the city of Gary, Indiana.
  • C. Naha City Hall
    Naha City Hall is the main municipal government building and administrative center of Naha, the capital city of Okinawa Prefecture in Japan.
  • D. Memorial City Hall
    Memorial City Hall is a historic civic building in Auburn, New York, serving as a prominent local landmark and center for municipal and community events.
  • E. Tiburon Town Hall
    Tiburon Town Hall is the main municipal building in Tiburon, California, housing the town’s government offices and public meeting spaces.
  • 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: KL City Hall
Triple: [Kuala Lumpur City Hall, shortName, KL City Hall]
Generated description
KL City Hall is the municipal government authority responsible for administering and managing the city of Kuala Lumpur, Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KL City Hall
Target entity description: KL City Hall is the municipal government authority responsible for administering and managing the city of Kuala Lumpur, Malaysia.
  • A. Kutaisi City Hall
    Kutaisi City Hall is the main municipal government building and administrative center for the city of Kutaisi in Georgia.
  • B. Gary City Hall
    Gary City Hall is the historic municipal government building serving as the administrative center of the city of Gary, Indiana.
  • C. Naha City Hall
    Naha City Hall is the main municipal government building and administrative center of Naha, the capital city of Okinawa Prefecture in Japan.
  • D. Memorial City Hall
    Memorial City Hall is a historic civic building in Auburn, New York, serving as a prominent local landmark and center for municipal and community events.
  • E. Tiburon Town Hall
    Tiburon Town Hall is the main municipal building in Tiburon, California, housing the town’s government offices and public meeting spaces.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77126d9288190aa5daf2ba83d731d completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d751e8e081908f31ab2d82105c3c completed April 18, 2026, 12:58 a.m.
NEDg Description generation batch_69e2ff1ddd2c8190b31f5007f7492a4e completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3260494bc81909e3dd4829697fb72 completed April 18, 2026, 6:34 a.m.
Created at: April 8, 2026, 9:23 p.m.