Triple

T10914607
Position Surface form Disambiguated ID Type / Status
Subject Count of Württemberg E257786 entity
Predicate hasCapital P204 FINISHED
Object Urach E351122 NE 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: Urach | Statement: [Count of Württemberg, hasCapital, Urach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urach
Context triple: [Count of Württemberg, hasCapital, Urach]
  • A. Urach (earlier period) chosen
    Urach is a historic town in southwestern Germany that once served as the political center of the Duchy of Württemberg during an earlier period.
  • B. Clyve
    Clyve is a given name, typically a modern or stylistic variant of the name Clive.
  • C. Mecone
    Mecone is the ancient name of the Greek city of Sicyon, a historically significant city-state in the northern Peloponnese.
  • D. Genitrix
    Genitrix is a psychological novel by French writer François Mauriac that explores themes of maternal domination, guilt, and religious morality within a provincial bourgeois family.
  • E. Calyce
    Calyce is a figure in Greek mythology, traditionally known as a daughter of Aeolus and Enarete and associated with various regional heroic lineages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77073d12881908ea59771b84bc804 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216eb77dc81908c380f5fcd507275 completed April 17, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:22 p.m.