Triple

T12438272
Position Surface form Disambiguated ID Type / Status
Subject Penygroes E297203 entity
Predicate hasPostTown P2711 FINISHED
Object CAERNARFON E181091 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: CAERNARFON | Statement: [Penygroes, hasPostTown, CAERNARFON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAERNARFON
Context triple: [Penygroes, hasPostTown, CAERNARFON]
  • A. Caernarfon, Gwynedd chosen
    Caernarfon, Gwynedd is a historic town in northwest Wales famed for its medieval castle and strong royal connections.
  • B. Caerfyrddin
    Caerfyrddin is the Welsh name for the town of Carmarthen, a historic market town in southwest Wales.
  • C. Carmarthen
    Carmarthen is a historic market town in southwest Wales, often regarded as one of the oldest towns in the country and traditionally linked with the legends of Merlin.
  • D. Penmaenmawr
    Penmaenmawr is a coastal town and former quarrying community on the north coast of Wales, overlooking the Menai Strait and the Irish Sea.
  • E. Argoed
    Argoed is a small village and community located in the Sirhowy Valley in south Wales.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75464d85c8190a4c27f22cfd7dc96 completed May 3, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:55 p.m.