Triple

T9641639
Position Surface form Disambiguated ID Type / Status
Subject Fürstenfeldbruck district E233084 entity
Predicate contains P35 FINISHED
Object Jesenwang
Jesenwang is a small municipality in Upper Bavaria, Germany, situated within the Fürstenfeldbruck district west of Munich.
 E811221 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: Jesenwang | Statement: [Fürstenfeldbruck district, contains, Jesenwang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jesenwang
Context triple: [Fürstenfeldbruck district, contains, Jesenwang]
  • A. Rgyalrong
    Rgyalrong is a group of closely related Sino-Tibetan languages spoken primarily in western Sichuan, China, known for their complex morphology and conservative phonological features.
  • B. Jingpho
    Jingpho is a Tibeto-Burman language spoken primarily by the Jingpo people in parts of Myanmar, China, and India.
  • C. Baldzhuan
    Baldzhuan is a village in present-day Tajikistan, historically notable as the remote Central Asian location where Ottoman leader Enver Pasha was killed in 1922.
  • D. Lamkang
    Lamkang is a Tibeto-Burman language spoken by the Lamkang people, primarily in parts of Northeast India and Myanmar.
  • E. Chiwan
    Chiwan is a coastal area in Shenzhen, China, known for its port facilities, historical sites, and role in the city’s maritime trade.
  • 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: Jesenwang
Triple: [Fürstenfeldbruck district, contains, Jesenwang]
Generated description
Jesenwang is a small municipality in Upper Bavaria, Germany, situated within the Fürstenfeldbruck district west of Munich.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jesenwang
Target entity description: Jesenwang is a small municipality in Upper Bavaria, Germany, situated within the Fürstenfeldbruck district west of Munich.
  • A. Rgyalrong
    Rgyalrong is a group of closely related Sino-Tibetan languages spoken primarily in western Sichuan, China, known for their complex morphology and conservative phonological features.
  • B. Jingpho
    Jingpho is a Tibeto-Burman language spoken primarily by the Jingpo people in parts of Myanmar, China, and India.
  • C. Baldzhuan
    Baldzhuan is a village in present-day Tajikistan, historically notable as the remote Central Asian location where Ottoman leader Enver Pasha was killed in 1922.
  • D. Lamkang
    Lamkang is a Tibeto-Burman language spoken by the Lamkang people, primarily in parts of Northeast India and Myanmar.
  • E. Chiwan
    Chiwan is a coastal area in Shenzhen, China, known for its port facilities, historical sites, and role in the city’s maritime trade.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b566a2881909ab3f9502b1c3c8d completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1824e68a0819089c8e6e414575c5f completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d182fe6854819097b6fe60926c2a48 completed April 4, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d1835c916081908e3e1bb1e5499424 completed April 4, 2026, 9:32 p.m.
Created at: March 30, 2026, 8:12 p.m.