Triple

T4373888
Position Surface form Disambiguated ID Type / Status
Subject Constitution of Troezen of 1827 E98958 entity
Predicate adoptionPlace P1677 FINISHED
Object Troezen E70938 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: Troezen | Statement: [Constitution of Troezen of 1827, adoptionPlace, Troezen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troezen
Context triple: [Constitution of Troezen of 1827, adoptionPlace, Troezen]
  • A. Troezen chosen
    Troezen is an ancient Greek city in the northeastern Peloponnese, historically significant as a political and cultural center and as the legendary birthplace of the hero Theseus.
  • B. Troost
    Troost is a German surname most notably associated with Paul Troost, an influential early 20th-century architect.
  • C. Trost
    Trost is a surname most notably associated with Barry M. Trost, an influential American chemist known for his work in organic synthesis and the concept of atom economy.
  • D. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • E. Marié
    Marié is a given name variant of Marie, commonly used in French and other Romance-language contexts.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35220fa648190b116e786783a7eba completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e512350081908da06038e3080a3e completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:17 p.m.