Triple

T11014481
Position Surface form Disambiguated ID Type / Status
Subject Kuala Lumpur Tower E260328 entity
Predicate locatedIn P40 FINISHED
Object Bukit Nanas
Bukit Nanas is a historic hill and green reserve in central Kuala Lumpur, Malaysia, known for its urban forest and as a prominent landmark area.
E900133 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: Bukit Nanas | Statement: [Kuala Lumpur Tower, locatedIn, Bukit Nanas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukit Nanas
Context triple: [Kuala Lumpur Tower, locatedIn, Bukit Nanas]
  • A. Bukit Larut
    Bukit Larut is a hill resort and former colonial hill station in Perak, Malaysia, known for its cool climate, lush rainforest scenery, and panoramic views over the surrounding region.
  • B. Bukit Chabang
    Bukit Chabang is a prominent peak in northern Malaysia known as the highest summit of the Nakawan mountain range.
  • C. Mount Batu
    Mount Batu is a prominent high peak in Ethiopia’s Bale Mountains, known for its rugged terrain and alpine ecosystems.
  • D. Bukit Kayu Hitam
    Bukit Kayu Hitam is a Malaysian border town in Kedah known as a major road gateway between Malaysia and Thailand.
  • E. Salak Tinggi
    Salak Tinggi is a township in the Sepang District of Selangor, Malaysia, known for its proximity to Kuala Lumpur International Airport and its role as a residential and transit hub.
  • 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: Bukit Nanas
Triple: [Kuala Lumpur Tower, locatedIn, Bukit Nanas]
Generated description
Bukit Nanas is a historic hill and green reserve in central Kuala Lumpur, Malaysia, known for its urban forest and as a prominent landmark area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bukit Nanas
Target entity description: Bukit Nanas is a historic hill and green reserve in central Kuala Lumpur, Malaysia, known for its urban forest and as a prominent landmark area.
  • A. Bukit Larut
    Bukit Larut is a hill resort and former colonial hill station in Perak, Malaysia, known for its cool climate, lush rainforest scenery, and panoramic views over the surrounding region.
  • B. Bukit Chabang
    Bukit Chabang is a prominent peak in northern Malaysia known as the highest summit of the Nakawan mountain range.
  • C. Mount Batu
    Mount Batu is a prominent high peak in Ethiopia’s Bale Mountains, known for its rugged terrain and alpine ecosystems.
  • D. Bukit Kayu Hitam
    Bukit Kayu Hitam is a Malaysian border town in Kedah known as a major road gateway between Malaysia and Thailand.
  • E. Salak Tinggi
    Salak Tinggi is a township in the Sepang District of Selangor, Malaysia, known for its proximity to Kuala Lumpur International Airport and its role as a residential and transit hub.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a49f648190a5144625d09dec6f completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374c238ac81908e0a5eff958d6545 completed April 18, 2026, 12:10 p.m.
NEDg Description generation batch_69e37ab6ca788190ac41f9494ad9a47f completed April 18, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69e37c9439fc8190a69cfb1a13da4c19 completed April 18, 2026, 12:44 p.m.
Created at: April 8, 2026, 9:25 p.m.