Triple

T15298243
Position Surface form Disambiguated ID Type / Status
Subject Sonbhadra district E365715 entity
Predicate industrialArea P68164 FINISHED
Object Obra
Obra is a major industrial and power-generation town in Uttar Pradesh’s Sonbhadra district, known especially for its large thermal power plants.
E1148177 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: Obra | Statement: [Sonbhadra district, industrialArea, Obra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obra
Context triple: [Sonbhadra district, industrialArea, Obra]
  • A. Obra
    Obra is a river in western Poland that flows through the Greater Poland region before joining the Warta River.
  • B. Morenada
    Morenada is a traditional Bolivian folk dance and music style, characterized by heavy costumes, elaborate masks, and rhythms that evoke the labor of African slaves in colonial mines.
  • C. Urquiola
    Urquiola is the surname of Patricia Urquiola, a renowned Spanish architect and industrial designer known for her innovative furniture and interior designs.
  • D. Murillo
    Murillo was a prominent 17th-century Spanish Baroque painter renowned for his religious works and tender, luminous depictions of everyday life.
  • E. Murillo
    Murillo is a small Colombian town in the Tolima department, known as a gateway for trekking and mountaineering in the Los Nevados National Natural Park.
  • 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: Obra
Triple: [Sonbhadra district, industrialArea, Obra]
Generated description
Obra is a major industrial and power-generation town in Uttar Pradesh’s Sonbhadra district, known especially for its large thermal power plants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Obra
Target entity description: Obra is a major industrial and power-generation town in Uttar Pradesh’s Sonbhadra district, known especially for its large thermal power plants.
  • A. Obra
    Obra is a river in western Poland that flows through the Greater Poland region before joining the Warta River.
  • B. Morenada
    Morenada is a traditional Bolivian folk dance and music style, characterized by heavy costumes, elaborate masks, and rhythms that evoke the labor of African slaves in colonial mines.
  • C. Urquiola
    Urquiola is the surname of Patricia Urquiola, a renowned Spanish architect and industrial designer known for her innovative furniture and interior designs.
  • D. Murillo
    Murillo is a small Colombian town in the Tolima department, known as a gateway for trekking and mountaineering in the Los Nevados National Natural Park.
  • E. Murillo
    Murillo was a prominent 17th-century Spanish Baroque painter renowned for his religious works and tender, luminous depictions of everyday 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03686bfb8819080ba0caae652170a completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef82f6d08190b809260dda247dfe completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef08efec88190a66159ba39409ec9 completed May 9, 2026, 8:30 a.m.
NED2 Entity disambiguation (via description) batch_69fef1715c3081909bddb24688c810a7 completed May 9, 2026, 8:33 a.m.
Created at: April 10, 2026, 3:15 a.m.