Triple

T879450
Position Surface form Disambiguated ID Type / Status
Subject Madhya Pradesh E18993 entity
Predicate hasMajorCity P316 FINISHED
Object Mandla
Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
 E108083 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: Mandla | Statement: [Madhya Pradesh, hasMajorCity, Mandla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mandla
Context triple: [Madhya Pradesh, hasMajorCity, Mandla]
  • A. Thabana Ntlenyana
    Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
  • B. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • C. Samtskhe
    Samtskhe is a historical and geographic region in southern Georgia known for its mountainous landscapes, medieval fortresses, and cultural heritage.
  • D. Rolihlahla
    Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
  • E. Lilangeni
    The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
  • 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: Mandla
Triple: [Madhya Pradesh, hasMajorCity, Mandla]
Generated description
Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mandla
Target entity description: Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
  • A. Thabana Ntlenyana
    Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
  • B. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • C. Samtskhe
    Samtskhe is a historical and geographic region in southern Georgia known for its mountainous landscapes, medieval fortresses, and cultural heritage.
  • D. Rolihlahla
    Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
  • E. Lilangeni
    The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acc9d5f4819087afbb75b6ac3dbf completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf55fec481908460522373cc48ba completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7cfecba308190ae966e2e28e474b0 completed March 4, 2026, 6:23 a.m.
NED2 Entity disambiguation (via description) batch_69a7d041893881908a2dbf7af521db4d completed March 4, 2026, 6:25 a.m.
Created at: March 1, 2026, 7:39 p.m.