Triple

T1715828
Position Surface form Disambiguated ID Type / Status
Subject Shropshire Regimental Museum E37287 entity
Predicate heritageSector P6203 FINISHED
Object regimental heritage LITERAL 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: regimental heritage | Statement: [Shropshire Regimental Museum, heritageSector, regimental heritage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: heritageSector
Context triple: [Shropshire Regimental Museum, heritageSector, regimental heritage]
  • A. heritageType
    Indicates the classification of an entity’s cultural or natural heritage category or type within a heritage framework.
  • B. heritageManagement
    Indicates the management, preservation, and regulation of cultural or natural heritage resources by responsible entities.
  • C. heritageValue
    Indicates that something possesses cultural, historical, or traditional significance that is valued and preserved as heritage.
  • D. heritageField chosen
    Indicates that there is an association between an entity and a specific field, domain, or area related to cultural or historical heritage.
  • E. designHeritage
    Indicates that one entity has influenced, shaped, or contributed to the design tradition or stylistic lineage of another entity.
  • F. None of above.

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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab7521878c8190b9e7739b8c3fc705 completed March 7, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69aa61bd46d48190915500d75a9d8e94 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.