Triple

T15762059
Position Surface form Disambiguated ID Type / Status
Subject Munster Technological University E382124 entity
Predicate hasCampusIn P4623 FINISHED
Object Tralee E318315 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: Tralee | Statement: [Munster Technological University, hasCampusIn, Tralee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tralee
Context triple: [Munster Technological University, hasCampusIn, Tralee]
  • A. Tralee chosen
    Tralee is a town in County Kerry, Ireland, known as a regional commercial and cultural center and as the birthplace of the legendary early medieval seafarer St. Brendan the Navigator.
  • B. Doonbeg
    Doonbeg is a coastal village in County Clare, Ireland, known for its scenic Atlantic shoreline and tourism centered around golf and seaside activities.
  • C. Loughrea
    Loughrea is a historic market town in eastern County Galway, Ireland, known for its medieval heritage, lakeside setting, and traditional Irish culture.
  • D. Clonakilty
    Clonakilty is a coastal town in southwest Ireland known for its vibrant music scene, sandy beaches, and award-winning black pudding.
  • E. Youghal
    Youghal is a historic seaside town and popular tourist destination on the south coast of Ireland, known for its medieval architecture and sandy beaches.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b52c548190a0ffa4493a4eb15c completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9099335c8190b6f0fb336b3dc212 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:47 a.m.