Triple

T657495
Position Surface form Disambiguated ID Type / Status
Subject Lichtenfels E11679 entity
Predicate hasSubdivision P747 FINISHED
Object Eben
Eben is a locality or district that forms part of the town of Lichtenfels in Germany.
E82472 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: Eben | Statement: [Lichtenfels, hasSubdivision, Eben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eben
Context triple: [Lichtenfels, hasSubdivision, Eben]
  • A. Ernman
    Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
  • B. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • C. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • D. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • E. Earle
    Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
  • 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: Eben
Triple: [Lichtenfels, hasSubdivision, Eben]
Generated description
Eben is a locality or district that forms part of the town of Lichtenfels in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eben
Target entity description: Eben is a locality or district that forms part of the town of Lichtenfels in Germany.
  • A. Ernman
    Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
  • B. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • C. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • D. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • E. Earle
    Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa55e048190bd9913c6c31772d0 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c39453208190928b61ad090e7e23 completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c4ef88388190b9746f599cf88a35 completed March 2, 2026, 5:12 p.m.
NED2 Entity disambiguation (via description) batch_69a5ce75386081909d780586dcdf0e5a completed March 2, 2026, 5:52 p.m.
Created at: March 1, 2026, 7:36 p.m.