Triple

T10346883
Position Surface form Disambiguated ID Type / Status
Subject Tundzha River E243770 entity
Predicate alsoKnownAs P39 FINISHED
Object Tunca E471701 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: Tunca | Statement: [Tundzha River, alsoKnownAs, Tunca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tunca
Context triple: [Tundzha River, alsoKnownAs, Tunca]
  • A. Tunca River chosen
    The Tunca River is a tributary of the Maritsa (Meriç) River in the Balkans, flowing through Bulgaria and Turkey and passing by the historic city of Edirne.
  • B. Göksu
    Göksu is a neighborhood in the Beykoz district of Istanbul, Turkey, known for its riverside setting along the Göksu Creek on the Asian side of the Bosphorus.
  • C. Meriç
    Meriç is the Turkish name for the Maritsa River, a major waterway in the Balkans that flows through Bulgaria, Greece, and along the Turkish border before emptying into the Aegean Sea.
  • D. Göksu River
    The Göksu River is a significant waterway in southern Turkey that flows from the Taurus Mountains to the Mediterranean Sea, known for its rich biodiversity and fertile surrounding plains.
  • E. Dicle
    Dicle is the Turkish name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9251654819080d1e3f0ed4ee9d3 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79513ea3081908fee1a404f950be5 completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:56 a.m.