Triple

T10691213
Position Surface form Disambiguated ID Type / Status
Subject Raichur Doab E252011 entity
Predicate containsTown P847 FINISHED
Object Manvi
Manvi is a town in the Raichur district of Karnataka, India, known for its agricultural economy and historical temples.
 E878392 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: Manvi | Statement: [Raichur Doab, containsTown, Manvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Manvi
Context triple: [Raichur Doab, containsTown, Manvi]
  • A. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • B. Meena
    Meena is a shy teenage elephant with a powerful singing voice in the animated film "Sing."
  • C. Aditi
    Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
  • D. Aparna
    Aparna is a central character in Satyajit Ray’s film "Apur Sansar," portrayed as Apu’s wife whose relationship with him profoundly shapes the emotional core of the story.
  • E. Anjali
    Anjali is a critically acclaimed 1990 Indian Tamil-language drama film directed by Mani Ratnam, known for its sensitive portrayal of a child with a terminal illness and its emotional family narrative.
  • 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: Manvi
Triple: [Raichur Doab, containsTown, Manvi]
Generated description
Manvi is a town in the Raichur district of Karnataka, India, known for its agricultural economy and historical temples.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Manvi
Target entity description: Manvi is a town in the Raichur district of Karnataka, India, known for its agricultural economy and historical temples.
  • A. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • B. Meena
    Meena is a shy teenage elephant with a powerful singing voice in the animated film "Sing."
  • C. Aditi
    Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
  • D. Aparna
    Aparna is a central character in Satyajit Ray’s film "Apur Sansar," portrayed as Apu’s wife whose relationship with him profoundly shapes the emotional core of the story.
  • E. Anjali
    Anjali is a critically acclaimed 1990 Indian Tamil-language drama film directed by Mani Ratnam, known for its sensitive portrayal of a child with a terminal illness and its emotional family narrative.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd3705788190bcbdef93b4c5f574 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d988a59d6c8190a0e170acfb3af6da completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aecef388190a270e92c93ccca05 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c04e8c08190b4d7bc63357c69f4 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:11 p.m.