Triple

T13706489
Position Surface form Disambiguated ID Type / Status
Subject Tedim Chin E328653 entity
Predicate hasDialect P4251 FINISHED
Object Kaptel
Kaptel is a dialect of the Tedim Chin language spoken by a subset of the Tedim Chin people.
E1054986 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: Kaptel | Statement: [Tedim Chin, hasDialect, Kaptel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaptel
Context triple: [Tedim Chin, hasDialect, Kaptel]
  • A. Kapit
    Kapit is a remote riverside town and administrative center in Sarawak, Malaysia, known historically as a trading post accessible mainly by boat along the Rajang River.
  • B. Kaps
    Kaps is a small rural village located in Armenia’s Shirak Province.
  • C. Kapuvár
    Kapuvár is a small historic town in northwestern Hungary known for its thermal baths and proximity to the Fertő–Hanság National Park.
  • D. Kapor
    Kapor is the surname of Mitchell Kapor, an American entrepreneur best known for founding the software company Lotus Development Corporation.
  • E. KAPF
    KAPF is the ICAO airport code for Naples Municipal Airport, a public airport serving Naples, Florida.
  • 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: Kaptel
Triple: [Tedim Chin, hasDialect, Kaptel]
Generated description
Kaptel is a dialect of the Tedim Chin language spoken by a subset of the Tedim Chin people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kaptel
Target entity description: Kaptel is a dialect of the Tedim Chin language spoken by a subset of the Tedim Chin people.
  • A. Kapit
    Kapit is a remote riverside town and administrative center in Sarawak, Malaysia, known historically as a trading post accessible mainly by boat along the Rajang River.
  • B. Kaps
    Kaps is a small rural village located in Armenia’s Shirak Province.
  • C. Kapuvár
    Kapuvár is a small historic town in northwestern Hungary known for its thermal baths and proximity to the Fertő–Hanság National Park.
  • D. Kapor
    Kapor is the surname of Mitchell Kapor, an American entrepreneur best known for founding the software company Lotus Development Corporation.
  • E. KAPF
    KAPF is the ICAO airport code for Naples Municipal Airport, a public airport serving Naples, Florida.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad17732c8190bbd0d73107711c99 completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7945b63288190819621830ac1c0d6 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f796df515c819080a95621a8308629 completed May 3, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69f7976846308190b1a5c056609fca34 completed May 3, 2026, 6:43 p.m.
Created at: April 9, 2026, 9:54 p.m.