Triple

T13606336
Position Surface form Disambiguated ID Type / Status
Subject Lycaonians E325072 entity
Predicate urbanCenter P749 FINISHED
Object Laranda E609166 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: Laranda | Statement: [Lycaonians, urbanCenter, Laranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laranda
Context triple: [Lycaonians, urbanCenter, Laranda]
  • A. Laranda chosen
    Laranda was an important ancient city in the region of Lycaonia in central Anatolia, known from Hellenistic and Roman times.
  • B. Kardamyla
    Kardamyla is a coastal village and former seafaring community on the northeastern part of the Greek island of Chios, known for its maritime tradition and picturesque harbor.
  • C. Konitsa
    Konitsa is a town in northwestern Greece known for its mountainous landscape, traditional stone architecture, and proximity to the Albanian border.
  • D. Liadi
    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.
  • E. Lixouri
    Lixouri is a coastal town and one of the main settlements on the Greek island of Kefalonia, known for its harbor, beaches, and relaxed atmosphere.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f96280881908bab3af5c80f6d55 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.