Triple

T23803452
Position Surface form Disambiguated ID Type / Status
Subject Sunda Islands E589635 entity
Predicate contains P35 FINISHED
Object Leti Islands
The Leti Islands are a small group of remote islands in southeastern Maluku, Indonesia, known for their traditional cultures and location near the eastern edge of the Lesser Sunda region.
E1629094 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: Leti Islands | Statement: [Sunda Islands, contains, Leti Islands]
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: Leti Islands
Triple: [Sunda Islands, contains, Leti Islands]
Generated description
The Leti Islands are a small group of remote islands in southeastern Maluku, Indonesia, known for their traditional cultures and location near the eastern edge of the Lesser Sunda region.

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_69e25d19fecc8190a5cf39bbb18d5d7f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c750048c8190899ff611df35b361 completed April 29, 2026, 8:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9911b24819087c34f44859e1831 completed May 22, 2026, 3:12 a.m.
NEDg Description generation batch_6a0fcd4eb78c81909dacbe3f7e43dd43 completed May 22, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_6a0fcf9f90cc8190a14c8d2e9ef982a4 completed May 22, 2026, 3:38 a.m.
Created at: April 17, 2026, 7:54 p.m.