Triple

T28429116
Position Surface form Disambiguated ID Type / Status
Subject Polillo Islands E715069 entity
Predicate hasIsland P970 FINISHED
Object Patnanungan Island
Patnanungan Island is a small inhabited island and municipality in the Polillo Islands group off the eastern coast of Luzon in the Philippines, known for its remote beaches and fishing communities.
E2297873 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: Patnanungan Island | Statement: [Polillo Islands, hasIsland, Patnanungan 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: Patnanungan Island
Triple: [Polillo Islands, hasIsland, Patnanungan Island]
Generated description
Patnanungan Island is a small inhabited island and municipality in the Polillo Islands group off the eastern coast of Luzon in the Philippines, known for its remote beaches and fishing communities.

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_69efd6b253888190b3c7222ed6a403a8 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f64dffeda081909a61d05295bf0862 completed May 2, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a83e9ec28f48190b7c2dc8233d80e62 completed Aug. 18, 2026, 5:13 a.m.
NEDg Description generation batch_6a83eadb2ed48190ab7267cbe2790554 completed Aug. 18, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_6a83eb29a0088190890911c9f7d4f743 completed Aug. 18, 2026, 5:18 a.m.
Created at: April 28, 2026, 1:38 a.m.