Triple

T9115739
Position Surface form Disambiguated ID Type / Status
Subject Company of Thorin E218714 entity
Predicate hasNumberOfWizards P86585 FINISHED
Object 1 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: 1 | Statement: [Company of Thorin, hasNumberOfWizards, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfWizards
Context triple: [Company of Thorin, hasNumberOfWizards, 1]
  • A. hasNumberOfWuku
    Indicates the relationship that specifies how many wuku (traditional Javanese calendar weeks) are associated with a given entity.
  • B. hasLimitedMagic
    Indicates that an entity possesses magical abilities that are restricted in scope, power, frequency, or conditions of use.
  • C. numberOfKnownSpells
    Indicates the quantity of spells that an entity is known or recorded to have learned or mastered.
  • D. hasNumberOfPowers
    Indicates the quantity of distinct powers or abilities that an entity possesses.
  • E. hasApproximateNumberOfMiniatures
    Indicates that an entity is associated with an estimated or non-exact count of miniatures.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a1340881909dc791b825e87ef2 completed April 1, 2026, 5:09 a.m.
PD Predicate disambiguation batch_69cc65fe5be081909d4470d6317b14a6 completed April 1, 2026, 12:25 a.m.
PDg Predicate description generation batch_69cc66d7bf648190b8bff5b584b84975 completed April 1, 2026, 12:29 a.m.
Created at: March 30, 2026, 7:16 p.m.