Triple

T5059153
Position Surface form Disambiguated ID Type / Status
Subject Mataram E113979 entity
Predicate roadNetworkConnectedTo P3374 FINISHED
Object Praya
Praya is a town on the island of Lombok in Indonesia that serves as the capital of Central Lombok Regency and a regional administrative and transportation hub.
E491235 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: Praya | Statement: [Mataram, roadNetworkConnectedTo, Praya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praya
Context triple: [Mataram, roadNetworkConnectedTo, Praya]
  • A. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • B. Rishra
    Rishra is an industrial town and municipal area in the Hooghly district of West Bengal, India, known for its jute mills and proximity to Kolkata along the Hooghly River.
  • C. Prasuni
    Prasuni is a Nuristani language spoken by a small community in the remote valleys of eastern Afghanistan.
  • D. Mahodara
    Mahodara is a revered form of the Hindu deity Ganesha, particularly associated with prosperity, generosity, and the fulfillment of devotees’ wishes.
  • E. Maiana
    Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
  • 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: Praya
Triple: [Mataram, roadNetworkConnectedTo, Praya]
Generated description
Praya is a town on the island of Lombok in Indonesia that serves as the capital of Central Lombok Regency and a regional administrative and transportation hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Praya
Target entity description: Praya is a town on the island of Lombok in Indonesia that serves as the capital of Central Lombok Regency and a regional administrative and transportation hub.
  • A. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • B. Rishra
    Rishra is an industrial town and municipal area in the Hooghly district of West Bengal, India, known for its jute mills and proximity to Kolkata along the Hooghly River.
  • C. Prasuni
    Prasuni is a Nuristani language spoken by a small community in the remote valleys of eastern Afghanistan.
  • D. Mahodara
    Mahodara is a revered form of the Hindu deity Ganesha, particularly associated with prosperity, generosity, and the fulfillment of devotees’ wishes.
  • E. Maiana
    Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7453daac8190b2946702c6c4bd93 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea49283f48190b5db5ad78f332f95 completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea67c2c3c8190af0caba391bfe69c completed March 21, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69beaa2c9bf88190b9f96474a1b4f13d completed March 21, 2026, 2:24 p.m.
Created at: March 20, 2026, 1:38 p.m.