Triple

T7768285
Position Surface form Disambiguated ID Type / Status
Subject Eleanor of Portugal E179004 entity
Predicate deathPlace P21 FINISHED
Object Wiener Neustadt E175023 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: Wiener Neustadt | Statement: [Eleanor of Portugal, deathPlace, Wiener Neustadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiener Neustadt
Context triple: [Eleanor of Portugal, deathPlace, Wiener Neustadt]
  • A. Wiener Neustadt chosen
    Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
  • B. Mödling
    Mödling is a historic town in Lower Austria, near Vienna, known for its picturesque old town, wine culture, and proximity to the Vienna Woods.
  • C. Neustadtl an der Donau
    Neustadtl an der Donau is a small Austrian town on the Danube River, historically noted as the place where the Habsburg field marshal Ernst Gideon von Laudon died.
  • D. Seibersdorf
    Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
  • E. Tulln an der Donau
    Tulln an der Donau is an Austrian town on the Danube River, known for its rich history and as the birthplace of painter Egon Schiele.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70435b7f88190a5e68e6ae701c58f completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9009dfc288190b7e1e77a5d28e64f completed March 29, 2026, 10:36 a.m.
Created at: March 27, 2026, 4:11 p.m.