Triple

T15428478
Position Surface form Disambiguated ID Type / Status
Subject Madhesh Province E369573 entity
Predicate containsCity P294 FINISHED
Object Jaleshwar
Jaleshwar is a municipality in southeastern Nepal that serves as the administrative headquarters of Mahottari District in Madhesh Province.
 E1156215 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: Jaleshwar | Statement: [Madhesh Province, containsCity, Jaleshwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jaleshwar
Context triple: [Madhesh Province, containsCity, Jaleshwar]
  • A. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • B. Jagdishpur
    Jagdishpur is a town in the Amethi district of Uttar Pradesh, India, known for its industrial area and historical significance in the region.
  • C. Khandela
    Khandela is a prominent town in Rajasthan, India, known historically as a local trading and cultural center in the Sikar region.
  • D. Mandleshwar
    Mandleshwar is a historic town on the banks of the Narmada River in Madhya Pradesh, India, known for its temples and scenic ghats.
  • E. Bhuleshwar
    Bhuleshwar is a densely populated, historic market and residential area in South Mumbai known for its traditional temples, jewelry and textile shops, and vibrant street life.
  • 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: Jaleshwar
Triple: [Madhesh Province, containsCity, Jaleshwar]
Generated description
Jaleshwar is a municipality in southeastern Nepal that serves as the administrative headquarters of Mahottari District in Madhesh Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jaleshwar
Target entity description: Jaleshwar is a municipality in southeastern Nepal that serves as the administrative headquarters of Mahottari District in Madhesh Province.
  • A. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • B. Jagdishpur
    Jagdishpur is a town in the Amethi district of Uttar Pradesh, India, known for its industrial area and historical significance in the region.
  • C. Khandela
    Khandela is a prominent town in Rajasthan, India, known historically as a local trading and cultural center in the Sikar region.
  • D. Mandleshwar
    Mandleshwar is a historic town on the banks of the Narmada River in Madhya Pradesh, India, known for its temples and scenic ghats.
  • E. Bhuleshwar
    Bhuleshwar is a densely populated, historic market and residential area in South Mumbai known for its traditional temples, jewelry and textile shops, and vibrant street life.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a8099448190be71f7b649c7e545 completed May 9, 2026, 11:29 a.m.
NEDg Description generation batch_69ff1b5a328c81909aaa74c6f002875c completed May 9, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69ff1bdb39b481908f0b1df595837bc4 completed May 9, 2026, 11:34 a.m.
Created at: April 10, 2026, 3:20 a.m.