Triple

T15762057
Position Surface form Disambiguated ID Type / Status
Subject Munster Technological University E382124 entity
Predicate locatedIn P40 FINISHED
Object Kerry E296850 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: Kerry | Statement: [Munster Technological University, locatedIn, Kerry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerry
Context triple: [Munster Technological University, locatedIn, Kerry]
  • A. Kerry
    Kerry is a given name used for people of any gender in English-speaking countries.
  • B. Kerry chosen
    Kerry is a county in the southwest of Ireland known for its rugged coastline, mountains, and popular tourist destinations like Killarney and the Ring of Kerry.
  • C. John Kerry
    John Kerry is an American politician and diplomat, former U.S. senator from Massachusetts, 2004 Democratic presidential nominee, former Secretary of State, and a leading figure in U.S. foreign policy and climate diplomacy.
  • D. Albert Kerry
    Albert Kerry was a local Seattle businessman and civic leader after whom the scenic Kerry Park viewpoint on Queen Anne Hill is named.
  • E. Kerrey
    Kerrey is a surname most prominently associated with American politician and former Nebraska governor and U.S. senator Bob Kerrey.
  • 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_69ff8776c2488190ad27fd79e2ce4e14 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.