Triple

T9636818
Position Surface form Disambiguated ID Type / Status
Subject Northern Rivers E232952 entity
Predicate hasTown P847 FINISHED
Object Ballina E264989 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: Ballina | Statement: [Northern Rivers, hasTown, Ballina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballina
Context triple: [Northern Rivers, hasTown, Ballina]
  • A. Ballina chosen
    Ballina is a coastal town in northern New South Wales, Australia, known for its beaches, riverfront, and role as a regional service and tourism hub.
  • B. Ballina
    Ballina is a prominent town in County Mayo in Ireland, known for its location along the River Moy and its strong fishing and cultural heritage.
  • C. Enniscrone
    Enniscrone is a coastal resort town in County Sligo, Ireland, known for its long sandy beach, surfing, and seaside tourism.
  • D. Bagenalstown
    Bagenalstown is a small market town in County Carlow, Ireland, situated on the River Barrow and known for its historic architecture and canal-side setting.
  • E. Ballyhaunis
    Ballyhaunis is a small market town in east County Mayo, Ireland, known as a local commercial and transport hub with a diverse community.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b5045cc8190ab717f42d803e010 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1823e32c48190a442b77a0f7c8180 completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:11 p.m.