Triple

T23798875
Position Surface form Disambiguated ID Type / Status
Subject Sunken Cemetery E588614 entity
Predicate approximateSubmergencePeriod P106726 FINISHED
Object late 19th century 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: late 19th century | Statement: [Sunken Cemetery, approximateSubmergencePeriod, late 19th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateSubmergencePeriod
Context triple: [Sunken Cemetery, approximateSubmergencePeriod, late 19th century]
  • A. submergedBy
    Indicates that one entity is covered or overwhelmed by liquid, typically water, to the point of being beneath its surface due to the action or presence of another entity.
  • B. submergedPercentage
    Indicates the proportion of an object’s total volume or height that is below the surface of a surrounding fluid or medium.
  • C. partiallyInundatedSince
    Indicates that an entity has been partially covered or flooded by water starting from a specific point in time and continuing thereafter.
  • D. submergenceBegan chosen
    Indicates that the process of becoming submerged (typically in a fluid such as water) has started for the subject.
  • E. hasCauseOfSubmergence
    Indicates a relationship where one entity is the cause or reason for another entity becoming submerged or underwater.
  • 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_69e25d15db58819092ac1e6791696fd9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c6dfaae081908be48fa89e625f71 completed April 29, 2026, 8:52 a.m.
PD Predicate disambiguation batch_69f155fe300481909bd617443228df65 completed April 29, 2026, 12:51 a.m.
Created at: April 17, 2026, 7:51 p.m.