Triple

T14432138
Position Surface form Disambiguated ID Type / Status
Subject Újvidék E357860 entity
Predicate formerName P65 FINISHED
Object Neusatz E359712 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: Neusatz | Statement: [Újvidék, formerName, Neusatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neusatz
Context triple: [Újvidék, formerName, Neusatz]
  • A. Neusatz chosen
    Neusatz is the historical German name for the Serbian city of Novi Sad, a major cultural and economic center on the Danube River.
  • B. Neudorf
    Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
  • C. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • D. Neuheim
    Neuheim is a small Swiss municipality in the canton of Zug, known for its rural character and proximity to larger economic centers.
  • E. Wr. Neustadt
    Wr. Neustadt is a city in eastern Austria known as a regional economic and educational center, historically important as a fortified town and military academy site.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914570f08190b1c7c1c57a0cb476 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648b8f348190be11645b371b4102 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:18 a.m.