Triple

T8788022
Position Surface form Disambiguated ID Type / Status
Subject Forggensee E209090 entity
Predicate inflow P415 FINISHED
Object Lech E322539 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: Lech | Statement: [Forggensee, inflow, Lech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lech
Context triple: [Forggensee, inflow, Lech]
  • A. Lech chosen
    Lech is a major river in Central Europe that flows through Austria and southern Germany before joining the Danube.
  • B. Lech
    Lech is a Polish masculine given name most famously borne by Lech Wałęsa, the Solidarity leader and former president of Poland.
  • C. Gietrzwałd
    Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
  • D. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • E. Kazimierz
    Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f89a84c819085d4cfe4e6dfbda8 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f493f648190b0e9392f1abb44a1 completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:43 p.m.