Triple

T10141617
Position Surface form Disambiguated ID Type / Status
Subject Idukki district E231596 entity
Predicate hasMajorTown P316 FINISHED
Object Kattappana
Kattappana is a high-range commercial town in Kerala, India, known for its spice plantations and role as a major trading center in the Idukki region.
E844367 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: Kattappana | Statement: [Idukki district, hasMajorTown, Kattappana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kattappana
Context triple: [Idukki district, hasMajorTown, Kattappana]
  • A. Kadaru
    Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
  • B. Kallaṭa
    Kallaṭa was an early Kashmiri Shaiva philosopher and disciple of Vasugupta, best known for his influential commentary on the Spanda Karikas that helped systematize the Spanda school of non-dual Shaivism.
  • C. Kundagannada
    Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
  • D. Kondhana
    Kondhana is the historic hill fortress near Pune, India, later known as Sinhagad, renowned for its strategic importance and role in Maratha history.
  • E. Kambalda
    Kambalda is a mining town in Western Australia known for its significant nickel deposits and location near Lake Lefroy.
  • 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: Kattappana
Triple: [Idukki district, hasMajorTown, Kattappana]
Generated description
Kattappana is a high-range commercial town in Kerala, India, known for its spice plantations and role as a major trading center in the Idukki region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kattappana
Target entity description: Kattappana is a high-range commercial town in Kerala, India, known for its spice plantations and role as a major trading center in the Idukki region.
  • A. Kadaru
    Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
  • B. Kallaṭa
    Kallaṭa was an early Kashmiri Shaiva philosopher and disciple of Vasugupta, best known for his influential commentary on the Spanda Karikas that helped systematize the Spanda school of non-dual Shaivism.
  • C. Kundagannada
    Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
  • D. Kondhana
    Kondhana is the historic hill fortress near Pune, India, later known as Sinhagad, renowned for its strategic importance and role in Maratha history.
  • E. Kambalda
    Kambalda is a mining town in Western Australia known for its significant nickel deposits and location near Lake Lefroy.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2599e0819090184631e481310c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e603d4548190a561e735c603946f completed April 5, 2026, 10:45 p.m.
NEDg Description generation batch_69d2e7d9932c8190b1947df14f373f9c completed April 5, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_69d2e8c425b88190b20f1706fe3343f4 completed April 5, 2026, 10:57 p.m.
Created at: March 30, 2026, 9:07 p.m.