Triple

T38432307
Position Surface form Disambiguated ID Type / Status
Subject De los Conejos Island E903837 entity
Predicate nameMeaning P453 FINISHED
Object Island of the Rabbits
Island of the Rabbits is a small Spanish islet known for its historical population of rabbits and its role as a minor natural landmark off the Iberian coast.
E2269657 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: Island of the Rabbits | Statement: [De los Conejos Island, nameMeaning, Island of the Rabbits]
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: Island of the Rabbits
Triple: [De los Conejos Island, nameMeaning, Island of the Rabbits]
Generated description
Island of the Rabbits is a small Spanish islet known for its historical population of rabbits and its role as a minor natural landmark off the Iberian coast.

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_69f76e6a2024819081aa04f4932f89d2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccdb0f98c8190a87c3dd11cc6f44d completed May 7, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c29299d88190b51a3d08bbe8a754 completed June 29, 2026, 12:55 a.m.
NEDg Description generation batch_6a41c44816a48190b41ad81f2d0cf3bd completed June 29, 2026, 1:03 a.m.
NED2 Entity disambiguation (via description) batch_6a41c4a337c081908c9d670b2a4b5363 completed June 29, 2026, 1:04 a.m.
Created at: May 3, 2026, 4:31 p.m.