Triple

T8294529
Position Surface form Disambiguated ID Type / Status
Subject Guntur district E194180 entity
Predicate hasCity P316 FINISHED
Object Tenali E700712 NE FINISHED

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: Tenali | Statement: [Guntur district, hasCity, Tenali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tenali
Context triple: [Guntur district, hasCity, Tenali]
  • A. Tenali chosen
    Tenali is a city in the Guntur district of Andhra Pradesh, India, known for its cultural heritage and as a regional commercial and transport hub.
  • B. Konidela
    Konidela is a prominent Indian family name best known for its association with Telugu film megastar Chiranjeevi and his influential film dynasty.
  • C. Tadukhipa
    Tadukhipa was a Mitanni princess who became a queen of Egypt during the 18th Dynasty, likely as a wife of Amenhotep III and later associated with his successor Akhenaten.
  • D. Tejo
    Tejo is the Portuguese name for the Tagus River, the longest river on the Iberian Peninsula that flows through Spain and Portugal into the Atlantic Ocean.
  • E. Pitripati
    Pitripati is an epithet of the Hindu god Yama, revered as the lord and protector of departed ancestors and the realm of the dead.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df5fff88190ac51a8d1c3eb2fe2 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68a3258481908fe04fed1d00c9ba completed April 1, 2026, 6:49 p.m.
Created at: March 30, 2026, 5:52 p.m.