Triple

T1234290
Position Surface form Disambiguated ID Type / Status
Subject South Wales Valleys E26510 entity
Predicate hasTown P847 FINISHED
Object Aberdare E97367 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: Aberdare | Statement: [South Wales Valleys, hasTown, Aberdare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aberdare
Context triple: [South Wales Valleys, hasTown, Aberdare]
  • A. Aberdare chosen
    Aberdare is a town in the Cynon Valley of Rhondda Cynon Taf, Wales, historically known for its coal mining and ironworks industries.
  • B. Moffat Hills
    Moffat Hills is a range of rolling, often rugged hills in southern Scotland known for hiking, scenic valleys, and remote upland landscapes.
  • C. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • D. Southwick
    Southwick is a coastal town in southern England situated between Brighton and Shoreham-by-Sea.
  • E. Veria
    Veria is a historic city in northern Greece known for its ancient Macedonian heritage and early Christian significance.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5d16ec819088056167c88d3318 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf1a58248190a270ae5baa18d0d6 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:47 p.m.