Triple

T8409651
Position Surface form Disambiguated ID Type / Status
Subject National Highway 16 E198588 entity
Predicate connectsCity P4245 FINISHED
Object Ongole
Ongole is a city in the Prakasam district of Andhra Pradesh, India, known for its agricultural markets and the internationally recognized Ongole cattle breed.
E731481 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: Ongole | Statement: [National Highway 16, connectsCity, Ongole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ongole
Context triple: [National Highway 16, connectsCity, Ongole]
  • A. 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.
  • B. 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.
  • C. Machar
    Machar is a small rural township in Ontario, Canada, known for its forests, lakes, and low-density residential and agricultural character.
  • D. Yaka
    Yaka is a major Bantu language spoken primarily in the Democratic Republic of the Congo and neighboring regions of Central Africa.
  • E. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • 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: Ongole
Triple: [National Highway 16, connectsCity, Ongole]
Generated description
Ongole is a city in the Prakasam district of Andhra Pradesh, India, known for its agricultural markets and the internationally recognized Ongole cattle breed.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ongole
Target entity description: Ongole is a city in the Prakasam district of Andhra Pradesh, India, known for its agricultural markets and the internationally recognized Ongole cattle breed.
  • A. 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.
  • B. 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.
  • C. Machar
    Machar is a small rural township in Ontario, Canada, known for its forests, lakes, and low-density residential and agricultural character.
  • D. Yaka
    Yaka is a major Bantu language spoken primarily in the Democratic Republic of the Congo and neighboring regions of Central Africa.
  • E. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8317045c8190b69cc99854b633be completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0317cb188190b207bcaffb629a75 completed April 2, 2026, 5:48 a.m.
NEDg Description generation batch_69ce07808098819087e896b87320aefd completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08759e1c81909c96caf3b571e1ca completed April 2, 2026, 6:11 a.m.
Created at: March 30, 2026, 6:05 p.m.