Triple

T13875531
Position Surface form Disambiguated ID Type / Status
Subject River Parthe E333571 entity
Predicate flowsThrough P225 FINISHED
Object Taucha E1006462 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: Taucha | Statement: [River Parthe, flowsThrough, Taucha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taucha
Context triple: [River Parthe, flowsThrough, Taucha]
  • A. Taucha chosen
    Taucha is a small town in the German state of Saxony, located just northeast of Leipzig and closely integrated into its urban and economic area.
  • B. Tuchan
    Tuchan is a small commune in southern France’s Aude department, known for its wine production and scenic location in the Corbières hills.
  • C. Tarnica
    Tarnica is a prominent mountain peak in southeastern Poland’s Bieszczady range, known for its sweeping panoramic views and popularity among hikers.
  • D. Tarchuna
    Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
  • E. Tura
    Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be556708190bbcf0b3583f677e3 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c109ac5c819090b2b7e43334f904 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:15 p.m.