Triple

T9714022
Position Surface form Disambiguated ID Type / Status
Subject Gmund am Tegernsee E235092 entity
Predicate hasPart P35 FINISHED
Object Ostin
Ostin is a small district or locality within the Bavarian town of Gmund am Tegernsee in southern Germany.
E817021 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: Ostin | Statement: [Gmund am Tegernsee, hasPart, Ostin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostin
Context triple: [Gmund am Tegernsee, hasPart, Ostin]
  • A. Ostan
    Ostan was a historic city that served as the political and administrative center of the medieval Armenian region of Vaspurakan.
  • B. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • C. Osthoff
    Osthoff is a German-language surname borne by various individuals, including those of notable public and historical prominence.
  • D. Oside
    Oside is a casual nickname for Oceanside, a coastal city in northern San Diego County, California known for its beaches, surf culture, and historic wooden pier.
  • E. Ocuvite
    Ocuvite is a line of eye health dietary supplements formulated to support and protect vision, particularly in aging adults.
  • 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: Ostin
Triple: [Gmund am Tegernsee, hasPart, Ostin]
Generated description
Ostin is a small district or locality within the Bavarian town of Gmund am Tegernsee in southern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ostin
Target entity description: Ostin is a small district or locality within the Bavarian town of Gmund am Tegernsee in southern Germany.
  • A. Ostan
    Ostan was a historic city that served as the political and administrative center of the medieval Armenian region of Vaspurakan.
  • B. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • C. Osthoff
    Osthoff is a German-language surname borne by various individuals, including those of notable public and historical prominence.
  • D. Oside
    Oside is a casual nickname for Oceanside, a coastal city in northern San Diego County, California known for its beaches, surf culture, and historic wooden pier.
  • E. Ocuvite
    Ocuvite is a line of eye health dietary supplements formulated to support and protect vision, particularly in aging adults.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e087a1c8190aa62c910f88e8516 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f900ca08190a52f042feab2afa3 completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a181f10081908bfb0fae5a08462f completed April 4, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69d1a228b8488190a5a61f3468e92649 completed April 4, 2026, 11:43 p.m.
Created at: March 30, 2026, 8:19 p.m.