Triple

T17713867
Position Surface form Disambiguated ID Type / Status
Subject Tammisaari prison camp E441636 entity
Predicate hasNumberOfPrisonersEstimate P14513 FINISHED
Object several thousand 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: several thousand | Statement: [Tammisaari prison camp, hasNumberOfPrisonersEstimate, several thousand]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfPrisonersEstimate
Context triple: [Tammisaari prison camp, hasNumberOfPrisonersEstimate, several thousand]
  • A. numberOfPrisonersApproximate
    Indicates an approximate count of prisoners associated with an entity or situation, rather than an exact number.
  • B. estimatedPrisonerCount
    Indicates the estimated number of prisoners associated with a particular context, such as a location, time period, or event.
  • C. estimatedPrisoners chosen
    Indicates a relationship where a value represents the estimated number of prisoners associated with a particular entity or context.
  • D. hasPrisonerPopulation
    Indicates that an entity maintains or contains a population of prisoners, specifying the number or presence of incarcerated individuals associated with it.
  • E. hasPrisoners
    Indicates that an entity holds or contains one or more individuals who are imprisoned or detained.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729cebd08190872be96a26d0f7ce completed April 19, 2026, 6:13 a.m.
PD Predicate disambiguation batch_69e3cde601d4819097903f471f1fe99a completed April 18, 2026, 6:31 p.m.
Created at: April 10, 2026, 10:06 a.m.