Triple

T10103434
Position Surface form Disambiguated ID Type / Status
Subject Segamat E216257 entity
Predicate hasNearbyLocality P3883 FINISHED
Object Labis
Labis is a small town in the Segamat District of Johor, Malaysia, known as a local commercial and agricultural hub.
E840626 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: Labis | Statement: [Segamat, hasNearbyLocality, Labis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labis
Context triple: [Segamat, hasNearbyLocality, Labis]
  • A. Toboali
    Toboali is a coastal town and administrative center in the southern part of Bangka Island in Indonesia, known historically for its tin mining activities.
  • B. Lumban
    Lumban is a municipality in the Philippine province of Laguna known for its traditional hand-embroidered textiles and scenic lakeside setting along Laguna de Bay.
  • C. Bawean
    Bawean is an Indonesian island in the Java Sea known for its volcanic landscape, unique endemic deer, and cultural blend of Javanese and Malay influences.
  • D. Balabac
    Balabac is a remote island municipality in the southernmost part of the Philippine province of Palawan, known for its rich marine biodiversity and pristine beaches.
  • E. Nias
    Nias is a large island off the western coast of Sumatra in Indonesia, known for its unique megalithic culture, traditional villages, and world-class surfing waves.
  • 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: Labis
Triple: [Segamat, hasNearbyLocality, Labis]
Generated description
Labis is a small town in the Segamat District of Johor, Malaysia, known as a local commercial and agricultural hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Labis
Target entity description: Labis is a small town in the Segamat District of Johor, Malaysia, known as a local commercial and agricultural hub.
  • A. Toboali
    Toboali is a coastal town and administrative center in the southern part of Bangka Island in Indonesia, known historically for its tin mining activities.
  • B. Lumban
    Lumban is a municipality in the Philippine province of Laguna known for its traditional hand-embroidered textiles and scenic lakeside setting along Laguna de Bay.
  • C. Bawean
    Bawean is an Indonesian island in the Java Sea known for its volcanic landscape, unique endemic deer, and cultural blend of Javanese and Malay influences.
  • D. Balabac
    Balabac is a remote island municipality in the southernmost part of the Philippine province of Palawan, known for its rich marine biodiversity and pristine beaches.
  • E. Nias
    Nias is a large island off the western coast of Sumatra in Indonesia, known for its unique megalithic culture, traditional villages, and world-class surfing waves.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09af07c819099774af46ebf62d7 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6dcca848190851f6f1968fe244c completed April 5, 2026, 7:24 p.m.
NEDg Description generation batch_69d2b7e64fcc8190805a6a31c8a3786f completed April 5, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_69d2b883959481909f330a26863621ae completed April 5, 2026, 7:31 p.m.
Created at: March 30, 2026, 9:03 p.m.