Triple

T13383847
Position Surface form Disambiguated ID Type / Status
Subject Western District (American Samoa) E319385 entity
Predicate containsSettlement P847 FINISHED
Object Aasu E1036372 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: Aasu | Statement: [Western District (American Samoa), containsSettlement, Aasu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aasu
Context triple: [Western District (American Samoa), containsSettlement, Aasu]
  • A. Aasu chosen
    Aasu is a small village located on the island of Tutuila in American Samoa.
  • B. Assu
    Assu is a municipality in the Brazilian state of Rio Grande do Norte, known for its regional commerce and cultural traditions in the semi-arid Northeast.
  • C. Aasai
    Aasai is a 1995 Tamil romantic thriller film that gained widespread recognition for its gripping storyline and for significantly boosting actor Ajith Kumar’s early career.
  • D. Assoro
    Assoro is a historic hilltop town and comune in central Sicily, Italy, known for its medieval architecture and panoramic views over the surrounding countryside.
  • E. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306c18d481908ebc8f802e474479 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:33 p.m.