Triple

T14601308
Position Surface form Disambiguated ID Type / Status
Subject Catacombs of Paris E342710 entity
Predicate estimatedNumberOfRemains P114993 FINISHED
Object over 6 million individuals 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: over 6 million individuals | Statement: [Catacombs of Paris, estimatedNumberOfRemains, over 6 million individuals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimatedNumberOfRemains
Context triple: [Catacombs of Paris, estimatedNumberOfRemains, over 6 million individuals]
  • A. estimatedNumberOfBlocks
    Indicates the approximate count of discrete blocks associated with or involved in the given entity or context.
  • B. remainedIn
    Indicates that an entity stayed within or continued to be located in a particular place or state for a period of time.
  • C. areEstimatedIn
    Indicates that a value or quantity is approximated or inferred within a specified context, framework, or unit.
  • D. initialAvailability
    Indicates the starting level or state of availability of an entity before any changes or updates occur.
  • E. approximateProductionNumber
    Indicates that one entity specifies an estimated or non-exact quantity associated with the production output of another entity.
  • F. None of above. chosen

Provenance (4 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69de656a953481909a4645b004c40de7 completed April 14, 2026, 4:03 p.m.
PDg Predicate description generation batch_69de716c17cc8190aeb85296abee85a7 completed April 14, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:25 a.m.