Triple

T1734839
Position Surface form Disambiguated ID Type / Status
Subject Milyan E37898 entity
Predicate alsoKnownAs P39 FINISHED
Object Lycian B E38854 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: Lycian B | Statement: [Milyan, alsoKnownAs, Lycian B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lycian B
Context triple: [Milyan, alsoKnownAs, Lycian B]
  • A. Lycian chosen
    Lycian is an extinct Indo-European Anatolian language once spoken in southwestern Asia Minor and known from inscriptions dating to the first millennium BCE.
  • B. Bala
    Bala is a small historic market town in Gwynedd, Wales, best known for its proximity to Llyn Tegid (Bala Lake), the largest natural lake in Wales.
  • C. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • D. Crescent
    Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
  • E. Anatolian coast
    The Anatolian coast is the western shoreline of modern-day Turkey along the Aegean Sea, historically dotted with ancient Greek cities and important maritime trade routes.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a2168c819093d302632ff4b7c2 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8afd15a881909a5d55dd960799d1 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:30 p.m.