Triple

T19103610
Position Surface form Disambiguated ID Type / Status
Subject Executive Officer of TTD E467596 entity
Predicate locatedIn P40 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: [Executive Officer of TTD, locatedIn, Tirupati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tirupati
Context triple: [Executive Officer of TTD, locatedIn, 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. Kalingapatnam
    Kalingapatnam is a historic coastal town in Andhra Pradesh, India, known for its former prominence as a maritime trading port of the ancient Kalinga region.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36f84048190a62c52411eb55411 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.