Triple

T10912720
Position Surface form Disambiguated ID Type / Status
Subject County Louth E257740 entity
Predicate hasSettlement P1068 FINISHED
Object Termonfeckin E520335 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: Termonfeckin | Statement: [County Louth, hasSettlement, Termonfeckin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Termonfeckin
Context triple: [County Louth, hasSettlement, Termonfeckin]
  • A. Termonfeckin chosen
    Termonfeckin is a small coastal village in County Louth, Ireland, known for its historic churches and scenic beaches.
  • B. Kilgetty
    Kilgetty is a small village in Pembrokeshire, Wales, known as a local residential and service hub near the coastal resort of Saundersfoot.
  • C. Dooneen
    Dooneen is a small rural village located in County Tipperary, Ireland.
  • D. Trafoi
    Trafoi is a small alpine village in South Tyrol, northern Italy, known for its scenic location in the Stelvio National Park and as a base for exploring the surrounding mountains.
  • E. Crehen
    Crehen is a village in the municipality of Hannut in the province of Liège, Belgium.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7707310b0819092d0140acc3c64ba completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216da42a0819095def6a691abf107 completed April 17, 2026, 11:17 a.m.
Created at: April 8, 2026, 9:22 p.m.