Triple

T3687950
Position Surface form Disambiguated ID Type / Status
Subject Kheda district E78270 entity
Predicate hasTown P847 FINISHED
Object Thasra
Thasra is a town located in the Kheda district of the Indian state of Gujarat.
 E380429 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: Thasra | Statement: [Kheda district, hasTown, Thasra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thasra
Context triple: [Kheda district, hasTown, Thasra]
  • A. Thari
    Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
  • B. Veeragase
    Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
  • C. Tharwa
    Tharwa is a small rural village in the Australian Capital Territory, located south of Canberra near the Murrumbidgee River.
  • D. Prativindhya
    Prativindhya is a character in the Indian epic Mahabharata, known as the son of Arjuna and Draupadi and one of the Upapandavas.
  • E. Sureth
    Sureth is a modern Eastern Aramaic language spoken primarily by Assyrian communities in parts of Iraq, Syria, Iran, and the diaspora.
  • 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: Thasra
Triple: [Kheda district, hasTown, Thasra]
Generated description
Thasra is a town located in the Kheda district of the Indian state of Gujarat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thasra
Target entity description: Thasra is a town located in the Kheda district of the Indian state of Gujarat.
  • A. Thari
    Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
  • B. Veeragase
    Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
  • C. Tharwa
    Tharwa is a small rural village in the Australian Capital Territory, located south of Canberra near the Murrumbidgee River.
  • D. Prativindhya
    Prativindhya is a character in the Indian epic Mahabharata, known as the son of Arjuna and Draupadi and one of the Upapandavas.
  • E. Sureth
    Sureth is a modern Eastern Aramaic language spoken primarily by Assyrian communities in parts of Iraq, Syria, Iran, and the diaspora.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c960788190b73ede08658846aa completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3c10f6481908feed99cddc56d47 completed March 14, 2026, 2:11 a.m.
NEDg Description generation batch_69b4c7bd861c8190a1a7887f6d7fd6de completed March 14, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69b4c83085488190a48c6e4786d275e2 completed March 14, 2026, 2:30 a.m.
Created at: March 8, 2026, 3:26 p.m.