Triple

T6783138
Position Surface form Disambiguated ID Type / Status
Subject Inner Islands E155733 entity
Predicate containsIsland P970 FINISHED
Object Mahé E155732 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: Mahé | Statement: [Inner Islands, containsIsland, Mahé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahé
Context triple: [Inner Islands, containsIsland, Mahé]
  • A. Mahé
    Mahé is a former French colonial settlement on the Malabar Coast of India, now a small coastal town and district enclave of the Union Territory of Puducherry.
  • B. Mahé chosen
    Mahé is the largest and most populous island of Seychelles, home to the nation’s capital, Victoria, and its main economic and cultural center.
  • C. Praslin
    Praslin is the second-largest island of Seychelles, renowned for its white-sand beaches, lush tropical forests, and the UNESCO-listed Vallée de Mai nature reserve.
  • D. Nosy Be
    Nosy Be is a popular resort island off the northwest coast of Madagascar, known for its beaches, marine life, and volcanic lakes.
  • E. Mahe
    Mahe is a small coastal town on the Arabian Sea that forms a geographically separated district of the Union Territory of Puducherry in India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d289958481908ad4f9467a107083 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7510e26148190a75e660cedf1274e completed March 28, 2026, 3:54 a.m.
Created at: March 27, 2026, 2:14 p.m.