Triple

T23065043
Position Surface form Disambiguated ID Type / Status
Subject Swarnamukhi River E575013 entity
Predicate flowsThrough P225 FINISHED
Object Tirupati NE NERFINISHED

How this triple was built (2 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: Tirupati | Statement: [Swarnamukhi River, flowsThrough, Tirupati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tirupati
Context triple: [Swarnamukhi River, flowsThrough, Tirupati]
  • A. Tirupati chosen
    Tirupati is a major pilgrimage city in the Indian state of Andhra Pradesh, best known for the Tirumala Venkateswara Temple dedicated to Lord Vishnu and revered as one of Hinduism’s holiest sites.
  • B. Nagarjunakonda
    Nagarjunakonda is an important ancient Buddhist and archaeological site in Andhra Pradesh, India, known for its stupas, monasteries, and relics now partly submerged by a reservoir.
  • C. Tirumala
    Tirumala is a prominent hill town in Andhra Pradesh, India, best known as the site of the revered Tirumala Venkateswara Temple, one of Hinduism’s most important pilgrimage destinations.
  • D. Mangalagiri
    Mangalagiri is a town in Andhra Pradesh, India, known for its historic temples and traditional handloom weaving.
  • E. Dharmavaram
    Dharmavaram is a town in the Anantapur district of Andhra Pradesh, India, known for its handloom silk sarees and textile industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a2eb5c81908a90e22ff2a56430 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.