Triple

T21096495
Position Surface form Disambiguated ID Type / Status
Subject Province of Styria E519780 entity
Predicate contains P35 FINISHED
Object Leoben NE NERFINISHED

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: Leoben | Statement: [Province of Styria, contains, Leoben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leoben
Context triple: [Province of Styria, contains, Leoben]
  • A. Leoben chosen
    Leoben is a historic industrial and university city in the Austrian state of Styria, known especially for its steel industry and mining university.
  • B. Lustenau
    Lustenau is a large market town in the Austrian state of Vorarlberg, known for its location on the Rhine near the Swiss border and its strong textile industry heritage.
  • C. Oberwart
    Oberwart is a town in eastern Austria known as a regional center with a significant Hungarian-speaking minority and a mix of industrial, commercial, and cultural activities.
  • D. Traunkirchen
    Traunkirchen is a picturesque lakeside village in Upper Austria, known for its scenic setting on Lake Traunsee and historic pilgrimage church.
  • E. Vöcklabruck
    Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b595cdc8190ba7a6f3f71d40c3f completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:52 p.m.