Triple

T19778368
Position Surface form Disambiguated ID Type / Status
Subject Roi-Namur E475066 entity
Predicate formedBy P972 FINISHED
Object Roi Island
Roi Island is a small coral islet in the Kwajalein Atoll of the Marshall Islands, historically significant for its role in World War II and now part of the combined Roi-Namur island used primarily for U.S. military operations.
E2286165 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: Roi Island | Statement: [Roi-Namur, formedBy, Roi 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: Roi Island
Triple: [Roi-Namur, formedBy, Roi Island]
Generated description
Roi Island is a small coral islet in the Kwajalein Atoll of the Marshall Islands, historically significant for its role in World War II and now part of the combined Roi-Namur island used primarily for U.S. military operations.

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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65361a8e08190b52944aab25e45fa completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4653bfd96c8190997a165ec9984553 completed July 2, 2026, 12:04 p.m.
NEDg Description generation batch_6a4654a243108190b0f34f9559f96c70 completed July 2, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_6a46553555348190b49361f684c4ea83 completed July 2, 2026, 12:10 p.m.
Created at: April 10, 2026, 1:49 p.m.