Triple

T11310236
Position Surface form Disambiguated ID Type / Status
Subject Istana Negara, Kuala Lumpur E267817 entity
Predicate locatedIn P40 FINISHED
Object Segambut
Segambut is a parliamentary constituency and township area in Kuala Lumpur, Malaysia, encompassing both residential and institutional landmarks.
 E917356 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: Segambut | Statement: [Istana Negara, Kuala Lumpur, locatedIn, Segambut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Segambut
Context triple: [Istana Negara, Kuala Lumpur, locatedIn, Segambut]
  • A. Subang Jaya
    Subang Jaya is a major suburban city in the Klang Valley region of Malaysia, known for its dense residential areas, commercial hubs, and educational institutions.
  • B. Binjai
    Binjai is a city in Indonesia located near Medan on the island of Sumatra, known as a regional trade and transit hub.
  • C. Gosong Rengat
    Gosong Rengat is a small island area within Indonesia’s Thousand Islands Regency, known as part of the scattered archipelago off the coast of Jakarta.
  • D. Pasir Mas
    Pasir Mas is a town in the Malaysian state of Kelantan, known as a local commercial and transport hub near the border with Thailand.
  • E. Tanjungbalai
    Tanjungbalai is a coastal city and port in northeastern Sumatra, Indonesia, known for its fishing industry and location along the Asahan River.
  • 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: Segambut
Triple: [Istana Negara, Kuala Lumpur, locatedIn, Segambut]
Generated description
Segambut is a parliamentary constituency and township area in Kuala Lumpur, Malaysia, encompassing both residential and institutional landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Segambut
Target entity description: Segambut is a parliamentary constituency and township area in Kuala Lumpur, Malaysia, encompassing both residential and institutional landmarks.
  • A. Subang Jaya
    Subang Jaya is a major suburban city in the Klang Valley region of Malaysia, known for its dense residential areas, commercial hubs, and educational institutions.
  • B. Binjai
    Binjai is a city in Indonesia located near Medan on the island of Sumatra, known as a regional trade and transit hub.
  • C. Gosong Rengat
    Gosong Rengat is a small island area within Indonesia’s Thousand Islands Regency, known as part of the scattered archipelago off the coast of Jakarta.
  • D. Pasir Mas
    Pasir Mas is a town in the Malaysian state of Kelantan, known as a local commercial and transport hub near the border with Thailand.
  • E. Tanjungbalai
    Tanjungbalai is a coastal city and port in northeastern Sumatra, Indonesia, known for its fishing industry and location along the Asahan River.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a7fc06881909afe85a600d25ff2 completed April 19, 2026, 5:01 p.m.
NEDg Description generation batch_69e510fb1e288190a7a38fe896d7b91d completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516d0910481908fee176db0d9229b completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.