Triple

T6346606
Position Surface form Disambiguated ID Type / Status
Subject Tanya E142758 entity
Predicate placeAssociated P19735 FINISHED
Object Liadi E474806 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: Liadi | Statement: [Tanya, placeAssociated, Liadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liadi
Context triple: [Tanya, placeAssociated, Liadi]
  • A. Liadi chosen
    Liadi is a historic town in present-day Belarus best known as the early center of Chabad Hasidism and the home of its founder, Rabbi Shneur Zalman.
  • B. Iasos
    Iasos was an ancient Greek coastal city in Caria, in southwestern Asia Minor, known for its harbor, fisheries, and distinctive local culture.
  • C. Lagonisi
    Lagonisi is a coastal resort town in the Athens metropolitan area of Greece, known for its beaches and holiday homes along the Saronic Gulf.
  • D. Ormos Korthiou
    Ormos Korthiou is a coastal village and seaside resort on the Greek island of Andros in the Cyclades.
  • E. Lygourio
    Lygourio is a small town in the Peloponnese region of Greece, known as the nearest modern settlement to the ancient Theatre of Epidaurus.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067b907c4819085a3ea87589bc4be completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604454fd48190972476a0929dfb9d completed March 27, 2026, 4:15 a.m.
Created at: March 22, 2026, 4:31 p.m.