Triple

T26589582
Position Surface form Disambiguated ID Type / Status
Subject San Cristobal Province E667312 entity
Predicate contains P35 FINISHED
Object Ulawa Island
Ulawa Island is a small, inhabited island in the Solomon Islands known for its traditional villages, subsistence lifestyle, and location within the eastern province of the archipelago.
E848898 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: Ulawa Island | Statement: [San Cristobal Province, contains, Ulawa Island]
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: Ulawa Island
Triple: [San Cristobal Province, contains, Ulawa Island]
Generated description
Ulawa Island is a small, inhabited island in the Solomon Islands known for its traditional villages, subsistence lifestyle, and location within the eastern province of the archipelago.

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_69ee9cfb7e548190b60a9031182f5a7e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f61524d22881909284d4aa8db7ebdd completed May 2, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a825a8b6ccc81908fb5f2a9e67323c0 completed Aug. 17, 2026, 12:49 a.m.
NEDg Description generation batch_6a825add19688190a6416c13e33c18d8 completed Aug. 17, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a825b2f781c8190bd7bd46e2298ad59 completed Aug. 17, 2026, 12:51 a.m.
Created at: April 27, 2026, 2:07 a.m.