Triple

T17827637
Position Surface form Disambiguated ID Type / Status
Subject San Antonio, Zambales E445160 entity
Predicate hasNearbyIsland P970 FINISHED
Object Camara Island
Camara Island is a small, scenic island off the coast of San Antonio in Zambales, Philippines, known for its white-sand beaches, rock formations, and clear turquoise waters popular with day-trip tourists and island hoppers.
E2167653 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: Camara Island | Statement: [San Antonio, Zambales, hasNearbyIsland, Camara 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: Camara Island
Triple: [San Antonio, Zambales, hasNearbyIsland, Camara Island]
Generated description
Camara Island is a small, scenic island off the coast of San Antonio in Zambales, Philippines, known for its white-sand beaches, rock formations, and clear turquoise waters popular with day-trip tourists and island hoppers.

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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48915d0fc819080ab03feb2465834 completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a38d5171bec8190bf434fbb9f9ad83c completed June 22, 2026, 6:24 a.m.
NEDg Description generation batch_6a38d60d968081908071371e5bbc1314 completed June 22, 2026, 6:28 a.m.
NED2 Entity disambiguation (via description) batch_6a38d6b7722c81909093057618f2569a completed June 22, 2026, 6:31 a.m.
Created at: April 10, 2026, 10:15 a.m.