Triple

T4523012
Position Surface form Disambiguated ID Type / Status
Subject Tirupati district E103310 entity
Predicate contains P35 FINISHED
Object Pichatur
Pichatur is a town and mandal in the Tirupati district of Andhra Pradesh, India, known for its rural setting and administrative role in the region.
 E449586 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: Pichatur | Statement: [Tirupati district, contains, Pichatur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pichatur
Context triple: [Tirupati district, contains, Pichatur]
  • A. Pichinglis
    Pichinglis is an English-based creole language spoken primarily on Bioko Island in Equatorial Guinea, particularly among the Fernandino community.
  • B. Pipiriki
    Pipiriki is a small rural settlement in New Zealand’s central North Island, known as a gateway to the Whanganui River and Whanganui National Park.
  • C. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • D. Pichi
    Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
  • E. Pichu Pichu
    Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
  • 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: Pichatur
Triple: [Tirupati district, contains, Pichatur]
Generated description
Pichatur is a town and mandal in the Tirupati district of Andhra Pradesh, India, known for its rural setting and administrative role in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pichatur
Target entity description: Pichatur is a town and mandal in the Tirupati district of Andhra Pradesh, India, known for its rural setting and administrative role in the region.
  • A. Pichinglis
    Pichinglis is an English-based creole language spoken primarily on Bioko Island in Equatorial Guinea, particularly among the Fernandino community.
  • B. Pipiriki
    Pipiriki is a small rural settlement in New Zealand’s central North Island, known as a gateway to the Whanganui River and Whanganui National Park.
  • C. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • D. Pichi
    Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
  • E. Pichu Pichu
    Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd574d7c2481909049955ca47613a6 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda440e104819095d84fcd183c7a44 completed March 20, 2026, 7:47 p.m.
NEDg Description generation batch_69bda540ce648190b23b7408152465eb completed March 20, 2026, 7:51 p.m.
NED2 Entity disambiguation (via description) batch_69bda5a33cd48190994a6260c4e35589 completed March 20, 2026, 7:53 p.m.
Created at: March 20, 2026, 1:02 p.m.