Triple

T4854448
Position Surface form Disambiguated ID Type / Status
Subject Purvanchal E108501 entity
Predicate hasCity P316 FINISHED
Object Mau
Mau is a city in the Purvanchal region of eastern Uttar Pradesh, India, known for its textile and power-loom industry.
 E476650 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: Mau | Statement: [Purvanchal, hasCity, Mau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mau
Context triple: [Purvanchal, hasCity, Mau]
  • A. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • B. Maiana
    Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
  • C. Marapu
    Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
  • D. Marum
    Marum is a former municipality in the Dutch province of Groningen that became part of the larger municipality of Westerkwartier after an administrative reorganization.
  • E. Mauke
    Mauke is a small, sparsely populated coral island in the southern Cook Islands known for its traditional Polynesian culture and lush, low-lying landscape.
  • 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: Mau
Triple: [Purvanchal, hasCity, Mau]
Generated description
Mau is a city in the Purvanchal region of eastern Uttar Pradesh, India, known for its textile and power-loom industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mau
Target entity description: Mau is a city in the Purvanchal region of eastern Uttar Pradesh, India, known for its textile and power-loom industry.
  • A. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • B. Maiana
    Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
  • C. Marapu
    Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
  • D. Marum
    Marum is a former municipality in the Dutch province of Groningen that became part of the larger municipality of Westerkwartier after an administrative reorganization.
  • E. Mauke
    Mauke is a small, sparsely populated coral island in the southern Cook Islands known for its traditional Polynesian culture and lush, low-lying landscape.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3c9d7881908c04cef2cb7db745 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67da14d48190a994a11eb7a674b5 completed March 21, 2026, 9:41 a.m.
NEDg Description generation batch_69be6864608c8190af22cc3ed949e1b9 completed March 21, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69be68e5b4e88190b7cd53d495f18a0f completed March 21, 2026, 9:46 a.m.
Created at: March 20, 2026, 1:26 p.m.