Triple

T8789841
Position Surface form Disambiguated ID Type / Status
Subject Inning am Ammersee E209134 entity
Predicate hasSubdivision P747 FINISHED
Object Arzla
Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
E758929 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: Arzla | Statement: [Inning am Ammersee, hasSubdivision, Arzla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arzla
Context triple: [Inning am Ammersee, hasSubdivision, Arzla]
  • A. Azara
    Azara is a suburban locality on the outskirts of Guwahati in Assam, India, known for hosting the city's main international airport and related transport infrastructure.
  • B. Temara
    Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
  • C. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • D. Lasbela
    Lasbela is a coastal district and city in Pakistan’s Balochistan province, known for its strategic location near Karachi and its mix of industrial, agricultural, and fishing activities.
  • E. Anara
    Anara is a town in West Bengal, India, known as the birthplace of acclaimed filmmaker and poet Buddhadeb Dasgupta.
  • 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: Arzla
Triple: [Inning am Ammersee, hasSubdivision, Arzla]
Generated description
Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arzla
Target entity description: Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
  • A. Azara
    Azara is a suburban locality on the outskirts of Guwahati in Assam, India, known for hosting the city's main international airport and related transport infrastructure.
  • B. Temara
    Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
  • C. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • D. Lasbela
    Lasbela is a coastal district and city in Pakistan’s Balochistan province, known for its strategic location near Karachi and its mix of industrial, agricultural, and fishing activities.
  • E. Anara
    Anara is a town in West Bengal, India, known as the birthplace of acclaimed filmmaker and poet Buddhadeb Dasgupta.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8d25f881908863d636fa57a8a2 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f493f648190b0e9392f1abb44a1 completed April 3, 2026, 7:42 a.m.
NEDg Description generation batch_69cf708dbd54819099efa4b5729d6298 completed April 3, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69cf714f22c48190a192c6fc32debfd6 completed April 3, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:43 p.m.