Triple

T30035788
Position Surface form Disambiguated ID Type / Status
Subject French Frigate Shoals E763154 entity
Predicate hasPart P35 FINISHED
Object East Island
East Island is a small, remote sand island in the Northwestern Hawaiian Islands, known for its critical role as a nesting and pupping habitat for endangered seabirds and Hawaiian monk seals.
E2285438 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: East Island | Statement: [French Frigate Shoals, hasPart, East 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: East Island
Triple: [French Frigate Shoals, hasPart, East Island]
Generated description
East Island is a small, remote sand island in the Northwestern Hawaiian Islands, known for its critical role as a nesting and pupping habitat for endangered seabirds and Hawaiian monk seals.

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_69f2246fb2b88190acff36bf7975c8f0 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f679d44f2081908ffa58a7709907ba completed May 2, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a45eddadc8c8190b32c19d8af783244 completed July 2, 2026, 4:49 a.m.
NEDg Description generation batch_6a45ef114b2c8190bdfd0d2ee8170f6b completed July 2, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_6a45efa18bb08190a499c4d2ac9c9b48 completed July 2, 2026, 4:57 a.m.
Created at: April 29, 2026, 6:51 p.m.