Triple

T2197929
Position Surface form Disambiguated ID Type / Status
Subject Pranhita E50418 entity
Predicate passesNear P416 FINISHED
Object Sironcha
Sironcha is a town in the Gadchiroli district of Maharashtra, India, situated near the confluence of the Pranhita and Godavari rivers.
E244431 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: Sironcha | Statement: [Pranhita, passesNear, Sironcha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sironcha
Context triple: [Pranhita, passesNear, Sironcha]
  • A. Virganskaya
    Virganskaya is a Russian surname most notably borne by Irina Virganskaya, the daughter of former Soviet leader Mikhail Gorbachev.
  • B. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • C. Ivanychi
    Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
  • D. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • E. Khopyor
    Khopyor is a major river in southwestern Russia that flows through the Central Russian Upland before joining the Don River.
  • 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: Sironcha
Triple: [Pranhita, passesNear, Sironcha]
Generated description
Sironcha is a town in the Gadchiroli district of Maharashtra, India, situated near the confluence of the Pranhita and Godavari rivers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sironcha
Target entity description: Sironcha is a town in the Gadchiroli district of Maharashtra, India, situated near the confluence of the Pranhita and Godavari rivers.
  • A. Virganskaya
    Virganskaya is a Russian surname most notably borne by Irina Virganskaya, the daughter of former Soviet leader Mikhail Gorbachev.
  • B. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • C. Ivanychi
    Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
  • D. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • E. Khopyor
    Khopyor is a major river in southwestern Russia that flows through the Central Russian Upland before joining the Don River.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf79f3e08190b56e9d7c0ff27237 completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6544c000819095aa63be5b1ed4d6 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae66411d848190a529018ad3765597 completed March 9, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69ae66a751f881908fda164de72dac9b completed March 9, 2026, 6:20 a.m.
Created at: March 4, 2026, 7:46 p.m.