Triple

T2486768
Position Surface form Disambiguated ID Type / Status
Subject Indira Sagar Dam E55944 entity
Predicate locatedNearTown P3883 FINISHED
Object Harsud
Harsud is a historic town in Madhya Pradesh, India, known for being submerged and relocated due to the construction of the Indira Sagar Dam on the Narmada River.
E271226 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: Harsud | Statement: [Indira Sagar Dam, locatedNearTown, Harsud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harsud
Context triple: [Indira Sagar Dam, locatedNearTown, Harsud]
  • A. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • B. Dhundhar
    Dhundhar is a historical region in eastern Rajasthan, India, centered around Jaipur and known for its rich Rajput heritage and cultural significance.
  • C. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • D. Shadharwan
    Shadharwan is the sloped stone base or foundation that runs along the lower exterior walls of the Kaaba in Mecca.
  • E. Halisahar
    Halisahar is a town in the North 24 Parganas district of the Indian state of West Bengal, situated along the Hooghly River and forming part of the Kolkata metropolitan area.
  • 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: Harsud
Triple: [Indira Sagar Dam, locatedNearTown, Harsud]
Generated description
Harsud is a historic town in Madhya Pradesh, India, known for being submerged and relocated due to the construction of the Indira Sagar Dam on the Narmada River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harsud
Target entity description: Harsud is a historic town in Madhya Pradesh, India, known for being submerged and relocated due to the construction of the Indira Sagar Dam on the Narmada River.
  • A. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • B. Dhundhar
    Dhundhar is a historical region in eastern Rajasthan, India, centered around Jaipur and known for its rich Rajput heritage and cultural significance.
  • C. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • D. Shadharwan
    Shadharwan is the sloped stone base or foundation that runs along the lower exterior walls of the Kaaba in Mecca.
  • E. Halisahar
    Halisahar is a town in the North 24 Parganas district of the Indian state of West Bengal, situated along the Hooghly River and forming part of the Kolkata metropolitan area.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1782ca081909645164a6acf0ea0 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17ba433481908eccda5c6c6246be completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af1bbf545081908e1e51b5c7e4a196 completed March 9, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69af1c9c35648190bdeab34ce4032d26 completed March 9, 2026, 7:16 p.m.
Created at: March 6, 2026, 9:45 p.m.