Triple

T9207184
Position Surface form Disambiguated ID Type / Status
Subject Coastal Andhra E221011 entity
Predicate containsCity P294 FINISHED
Object Ongole E731481 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: Ongole | Statement: [Coastal Andhra, containsCity, Ongole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ongole
Context triple: [Coastal Andhra, containsCity, Ongole]
  • A. Ongole chosen
    Ongole is a city in the Prakasam district of Andhra Pradesh, India, known for its agricultural markets and the internationally recognized Ongole cattle breed.
  • B. Sangole
    Sangole is a town in Maharashtra, India, known for its agricultural markets and location within Solapur district.
  • C. Dongo
    Dongo is a small town on the northwestern shore of Lake Como in Lombardy, Italy, known for its role in the capture of Benito Mussolini at the end of World War II.
  • D. Oria
    Oria is a historic town in Italy’s Apulia region, known for its medieval castle, ancient Messapian roots, and well-preserved old town.
  • E. Poilão
    Poilão is a small, uninhabited island in Guinea-Bissau’s Bijagós Archipelago, renowned as one of the world’s most important nesting sites for green sea turtles.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b0b6788190908bee67a0c5d48f completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065e49fcc81909ddb838a8ad28c57 completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:26 p.m.