Triple

T11476843
Position Surface form Disambiguated ID Type / Status
Subject Die Katze von Anzing E272043 entity
Predicate associatedWithPlace P2830 FINISHED
Object Anzing
Anzing is a small municipality in the district of Ebersberg in Upper Bavaria, Germany.
E927594 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: Anzing | Statement: [Die Katze von Anzing, associatedWithPlace, Anzing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anzing
Context triple: [Die Katze von Anzing, associatedWithPlace, Anzing]
  • A. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • B. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • C. Oza
    "Oza" is a prominent poetic work by Russian poet Andrei Voznesensky, reflecting his innovative style and experimental approach to verse.
  • D. Anazah
    Anazah is a tribal Arab community historically associated with the Anizah confederation, known for its Bedouin heritage across the Arabian Peninsula and surrounding regions.
  • E. Araria
    Araria is a town and administrative headquarters of Araria district in the northeastern part of the Indian state of Bihar, near the border with Nepal.
  • 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: Anzing
Triple: [Die Katze von Anzing, associatedWithPlace, Anzing]
Generated description
Anzing is a small municipality in the district of Ebersberg in Upper Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anzing
Target entity description: Anzing is a small municipality in the district of Ebersberg in Upper Bavaria, Germany.
  • A. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • B. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • C. Oza
    "Oza" is a prominent poetic work by Russian poet Andrei Voznesensky, reflecting his innovative style and experimental approach to verse.
  • D. Anazah
    Anazah is a tribal Arab community historically associated with the Anizah confederation, known for its Bedouin heritage across the Arabian Peninsula and surrounding regions.
  • E. Araria
    Araria is a town and administrative headquarters of Araria district in the northeastern part of the Indian state of Bihar, near the border with Nepal.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294e0fe08190b018e840146e27ca completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e965eebc8190822247b1abc13483 completed April 20, 2026, 8:52 a.m.
NEDg Description generation batch_69e5f15b37c8819083d9275ceb7b3806 completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f89dd4bc8190b0cccab8414a03aa completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:36 p.m.