Triple

T20685367
Position Surface form Disambiguated ID Type / Status
Subject Ngeno-Ngene E508398 entity
Predicate spokenIn P2266 FINISHED
Object Lombok
Lombok is an Indonesian island in West Nusa Tenggara known for its Sasak culture, volcanic landscapes, and popular beach and surf destinations.
 E20548 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: Lombok | Statement: [Ngeno-Ngene, spokenIn, Lombok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lombok
Context triple: [Ngeno-Ngene, spokenIn, Lombok]
  • A. Lombok
    Lombok is an Indonesian island east of Bali, known for its volcanic Mount Rinjani, beaches, and Sasak culture.
  • B. Bisa
    Bisa is a Gur (Voltaic) language spoken primarily in parts of Burkina Faso and neighboring West African countries.
  • C. Laworo
    Laworo is a town in Indonesia that serves as one of the urban centers within the province of Southeast Sulawesi.
  • D. Nambui
    Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
  • E. Nanggu
    Nanggu is an Oceanic language spoken by a small community in the Solomon Islands, known for its distinct phonology and limited number of speakers.
  • 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: Lombok
Triple: [Ngeno-Ngene, spokenIn, Lombok]
Generated description
Lombok is an Indonesian island in West Nusa Tenggara known for its Sasak culture, volcanic landscapes, and popular beach and surf destinations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lombok
Target entity description: Lombok is an Indonesian island in West Nusa Tenggara known for its Sasak culture, volcanic landscapes, and popular beach and surf destinations.
  • A. Lombok chosen
    Lombok is an Indonesian island east of Bali, known for its volcanic Mount Rinjani, beaches, and Sasak culture.
  • B. Bisa
    Bisa is a Gur (Voltaic) language spoken primarily in parts of Burkina Faso and neighboring West African countries.
  • C. Laworo
    Laworo is a town in Indonesia that serves as one of the urban centers within the province of Southeast Sulawesi.
  • D. Nambui
    Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
  • E. Nanggu
    Nanggu is an Oceanic language spoken by a small community in the Solomon Islands, known for its distinct phonology and limited number of speakers.
  • F. None of above.

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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beabf72881909771b6c6a81276d6 completed April 21, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7de62a8819088a43b43dc7873ec completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08da13f584819090d491c821e12f29 completed May 16, 2026, 8:56 p.m.
NED2 Entity disambiguation (via description) batch_6a08daae48048190a71c46941d2a5d36 completed May 16, 2026, 8:59 p.m.
Created at: April 16, 2026, 11:45 a.m.