Triple

T5468246
Position Surface form Disambiguated ID Type / Status
Subject Athanasius Kircher E122766 entity
Predicate placeOfBirth P1 FINISHED
Object Geisa
Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
E523283 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: Geisa | Statement: [Athanasius Kircher, placeOfBirth, Geisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geisa
Context triple: [Athanasius Kircher, placeOfBirth, Geisa]
  • A. Ibuki
    Ibuki is the nickname of Japan’s Greenhouse Gases Observing Satellite (GOSAT), an Earth observation mission dedicated to monitoring global greenhouse gas concentrations from space.
  • B. Nagako
    Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
  • C. Tokiko
    Tokiko, also known as Taira no Tokiko or the Nun of Second Rank, was a prominent noblewoman of the late Heian period and stepmother of Emperor Antoku, influential within the powerful Taira clan.
  • D. Asaka
    Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
  • E. Yua
    Yua is a small genus of flowering plants in the grape family Vitaceae, native to parts of East Asia.
  • 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: Geisa
Triple: [Athanasius Kircher, placeOfBirth, Geisa]
Generated description
Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Geisa
Target entity description: Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
  • A. Ibuki
    Ibuki is the nickname of Japan’s Greenhouse Gases Observing Satellite (GOSAT), an Earth observation mission dedicated to monitoring global greenhouse gas concentrations from space.
  • B. Nagako
    Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
  • C. Tokiko
    Tokiko, also known as Taira no Tokiko or the Nun of Second Rank, was a prominent noblewoman of the late Heian period and stepmother of Emperor Antoku, influential within the powerful Taira clan.
  • D. Asaka
    Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
  • E. Yua
    Yua is a small genus of flowering plants in the grape family Vitaceae, native to parts of East Asia.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9218621c819093267a012bd49a35 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48903dc48190b4e5a0c22545d6cc completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4c5821e4819084671d314d3501d1 completed March 22, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_69bf4cd7bc9c8190adafb3eb12c669d2 completed March 22, 2026, 1:58 a.m.
Created at: March 20, 2026, 2:09 p.m.