Triple

T8838547
Position Surface form Disambiguated ID Type / Status
Subject Subang Jaya E210328 entity
Predicate shortName P43 FINISHED
Object MBSJ
MBSJ is the municipal council responsible for local governance and city management in Subang Jaya, Selangor, Malaysia.
 E761370 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: MBSJ | Statement: [Subang Jaya, shortName, MBSJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MBSJ
Context triple: [Subang Jaya, shortName, MBSJ]
  • A. MBSY
    MBSY is the ICAO airport code for the small airport serving Salt Cay in the Turks and Caicos Islands.
  • B. JMSB
    JMSB is a leading Canadian business school that is part of Concordia University in Montreal, offering undergraduate and graduate programs in business and management.
  • C. MBS
    MBS is an abbreviation commonly used for the Mutual Broadcasting System, a historic American radio network that operated from the 1930s to the 1990s.
  • D. MSB
    MSB is a professional French basketball club based in Le Mans that competes in the country’s top-tier league and European competitions.
  • E. MSB
    MSB is the Turkish Ministry of National Defence, the government body responsible for overseeing Turkey’s armed forces and national defense policy.
  • 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: MBSJ
Triple: [Subang Jaya, shortName, MBSJ]
Generated description
MBSJ is the municipal council responsible for local governance and city management in Subang Jaya, Selangor, Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MBSJ
Target entity description: MBSJ is the municipal council responsible for local governance and city management in Subang Jaya, Selangor, Malaysia.
  • A. MBSY
    MBSY is the ICAO airport code for the small airport serving Salt Cay in the Turks and Caicos Islands.
  • B. JMSB
    JMSB is a leading Canadian business school that is part of Concordia University in Montreal, offering undergraduate and graduate programs in business and management.
  • C. MBS
    MBS is an abbreviation commonly used for the Mutual Broadcasting System, a historic American radio network that operated from the 1930s to the 1990s.
  • D. MSB
    MSB is a professional French basketball club based in Le Mans that competes in the country’s top-tier league and European competitions.
  • E. MSB
    MSB is the Turkish Ministry of National Defence, the government body responsible for overseeing Turkey’s armed forces and national defense policy.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606c60ac8190b2b6bd7f042c02f8 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89933e8c81909672bcec70f7d5ce completed April 3, 2026, 9:34 a.m.
NEDg Description generation batch_69cf8bb6d7dc8190a91864130513fa4e completed April 3, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_69cf8ca3e2788190a33fb28132944759 completed April 3, 2026, 9:47 a.m.
Created at: March 30, 2026, 6:48 p.m.