Triple

T3506074
Position Surface form Disambiguated ID Type / Status
Subject Burgenland E74077 entity
Predicate hasTown P847 FINISHED
Object Neusiedl am See
Neusiedl am See is a small Austrian town on the northern shore of Lake Neusiedl, known for its wine production and water sports tourism.
E363630 NE FINISHED

How this triple was built (4 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: Neusiedl am See | Statement: [Burgenland, hasTown, Neusiedl am See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neusiedl am See
Context triple: [Burgenland, hasTown, Neusiedl am See]
  • A. Fuschl am See
    Fuschl am See is a small lakeside town in the Austrian state of Salzburg, known for its scenic Alpine setting and as the home base of the energy drink company Red Bull.
  • B. Pöchlarn
    Pöchlarn is a small town in Lower Austria best known as the birthplace of the expressionist painter Oskar Kokoschka.
  • C. 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.
  • D. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • E. Marchfeld
    Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Neusiedl am See
Triple: [Burgenland, hasTown, Neusiedl am See]
Generated description
Neusiedl am See is a small Austrian town on the northern shore of Lake Neusiedl, known for its wine production and water sports tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neusiedl am See
Target entity description: Neusiedl am See is a small Austrian town on the northern shore of Lake Neusiedl, known for its wine production and water sports tourism.
  • A. Fuschl am See
    Fuschl am See is a small lakeside town in the Austrian state of Salzburg, known for its scenic Alpine setting and as the home base of the energy drink company Red Bull.
  • B. Pöchlarn
    Pöchlarn is a small town in Lower Austria best known as the birthplace of the expressionist painter Oskar Kokoschka.
  • C. 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.
  • D. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • E. Marchfeld
    Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
  • F. None of above. chosen

Provenance (5 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf38e988190998d722b95830411 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373e0dc7881909af631182970d132 completed March 13, 2026, 2:18 a.m.
NEDg Description generation batch_69b375337e6c8190a3d2a1561c133ecb completed March 13, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_69b375bb3f8c819097b295a2881b3b82 completed March 13, 2026, 2:26 a.m.
Created at: March 8, 2026, 3:18 p.m.