Triple

T22158634
Position Surface form Disambiguated ID Type / Status
Subject Agrihan seamount E547607 entity
Predicate associatedIsland P27557 FINISHED
Object Agrihan NE NERFINISHED

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: Agrihan | Statement: [Agrihan seamount, associatedIsland, Agrihan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agrihan
Context triple: [Agrihan seamount, associatedIsland, Agrihan]
  • A. Agrihan chosen
    Agrihan is a remote volcanic island in the Northern Mariana Islands known for its large stratovolcano and rugged, sparsely populated landscape.
  • B. Agrahayan
    Agrahayan is a month in the Bengali calendar traditionally associated with the main rice harvest and various rural festivals in Bengal.
  • C. Rudali
    Rudali is a powerful short story by Indian writer Mahasweta Devi that critiques caste, gender, and economic oppression through the lives of professional mourners in rural India.
  • D. Gohana
    Gohana is a town and municipal council in the Indian state of Haryana, known as a local commercial and agricultural hub in the Sonipat region.
  • E. Farmaajo
    Farmaajo is the nickname of Mohamed Abdullahi Mohamed, a Somali politician who served as President of Somalia from 2017 to 2022.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12a2b5b10819090630fbadacb67af completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:33 p.m.