Triple

T5059152
Position Surface form Disambiguated ID Type / Status
Subject Mataram E113979 entity
Predicate roadNetworkConnectedTo P3374 FINISHED
Object Lembar
Lembar is a port town on the island of Lombok in Indonesia, serving as a major ferry and transport hub connecting Lombok with neighboring islands such as Bali.
E491234 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: Lembar | Statement: [Mataram, roadNetworkConnectedTo, Lembar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lembar
Context triple: [Mataram, roadNetworkConnectedTo, Lembar]
  • A. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • B. Luman
    Luman is a masculine given name of English origin, historically borne by figures such as the 19th-century American art patron Luman Reed.
  • C. Lankendem
    Lankendem is a character in the ballet "Le Corsaire," typically portrayed as a scheming slave trader who plays a central role in the story’s conflicts and abductions.
  • D. Lakitu
    Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
  • E. Bompoka
    Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
  • 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: Lembar
Triple: [Mataram, roadNetworkConnectedTo, Lembar]
Generated description
Lembar is a port town on the island of Lombok in Indonesia, serving as a major ferry and transport hub connecting Lombok with neighboring islands such as Bali.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lembar
Target entity description: Lembar is a port town on the island of Lombok in Indonesia, serving as a major ferry and transport hub connecting Lombok with neighboring islands such as Bali.
  • A. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • B. Luman
    Luman is a masculine given name of English origin, historically borne by figures such as the 19th-century American art patron Luman Reed.
  • C. Lankendem
    Lankendem is a character in the ballet "Le Corsaire," typically portrayed as a scheming slave trader who plays a central role in the story’s conflicts and abductions.
  • D. Lakitu
    Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
  • E. Bompoka
    Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
  • 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.