Triple

T17322758
Position Surface form Disambiguated ID Type / Status
Subject earl (British peerage) E420601 entity
Predicate traditionalContinentalEquivalent P126997 FINISHED
Object Graf (German count) 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: Graf (German count) | Statement: [earl (British peerage), traditionalContinentalEquivalent, Graf (German count)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalContinentalEquivalent
Context triple: [earl (British peerage), traditionalContinentalEquivalent, Graf (German count)]
  • A. modernEquivalent
    Indicates that one entity serves as the contemporary or updated counterpart of another earlier or traditional entity.
  • B. equivalentInTibet
    Indicates that two entities are considered equivalent or correspond to each other within the context of Tibet.
  • C. cognateTradition
    Indicates that two entities belong to the same or closely related cultural, intellectual, or historical tradition, sharing a common origin or lineage.
  • D. traditionalRuler
    Indicates that one entity holds a customary or hereditary leadership role or authority over another entity or community.
  • E. traditionalCrossType
    Indicates that one entity is related to another through a conventional or historically established type of cross or crossing relationship.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d01e2c8190a358dace420d4575 completed April 19, 2026, 2:11 a.m.
PD Predicate disambiguation batch_69e3b01b9d1c8190a406dd941c9b11a1 completed April 18, 2026, 4:23 p.m.
PDg Predicate description generation batch_69e3b2a225b08190a50f984caa6513b9 completed April 18, 2026, 4:34 p.m.
Created at: April 10, 2026, 5:43 a.m.