Triple

T10713088
Position Surface form Disambiguated ID Type / Status
Subject Nizamabad district E252588 entity
Predicate containsVillage P4011 FINISHED
Object Nandipet
Nandipet is a village located in the Nizamabad district of the Indian state of Telangana.
E890750 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: Nandipet | Statement: [Nizamabad district, containsVillage, Nandipet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nandipet
Context triple: [Nizamabad district, containsVillage, Nandipet]
  • A. Nandyal
    Nandyal is a city in the Indian state of Andhra Pradesh, known as a commercial and administrative center in the Rayalaseema region.
  • B. Tadipatri
    Tadipatri is a town in the Anantapur district of Andhra Pradesh, India, known for its granite industries and historic temples.
  • C. Jaggayyapeta
    Jaggayyapeta is a town and assembly constituency in the NTR district of Andhra Pradesh, India, known for its historical Buddhist sites and cement industries.
  • D. Siddipet
    Siddipet is a prominent town in the Indian state of Telangana, known as an important regional center for administration, trade, and education.
  • E. Nallapadu
    Nallapadu is a locality and railway junction near Guntur in Andhra Pradesh, India, serving as a regional rail hub.
  • 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: Nandipet
Triple: [Nizamabad district, containsVillage, Nandipet]
Generated description
Nandipet is a village located in the Nizamabad district of the Indian state of Telangana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nandipet
Target entity description: Nandipet is a village located in the Nizamabad district of the Indian state of Telangana.
  • A. Nandyal
    Nandyal is a city in the Indian state of Andhra Pradesh, known as a commercial and administrative center in the Rayalaseema region.
  • B. Tadipatri
    Tadipatri is a town in the Anantapur district of Andhra Pradesh, India, known for its granite industries and historic temples.
  • C. Jaggayyapeta
    Jaggayyapeta is a town and assembly constituency in the NTR district of Andhra Pradesh, India, known for its historical Buddhist sites and cement industries.
  • D. Siddipet
    Siddipet is a prominent town in the Indian state of Telangana, known as an important regional center for administration, trade, and education.
  • E. Nallapadu
    Nallapadu is a locality and railway junction near Guntur in Andhra Pradesh, India, serving as a regional rail hub.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe54465081909640f6d7a2314fcb completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff777c63c8190a989d33e8460bc2f completed April 15, 2026, 8:39 p.m.
NEDg Description generation batch_69e0026e7900819087327db5f625169c completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e0057a7704819096becb74dc261883 completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:13 p.m.