Triple

T19384708
Position Surface form Disambiguated ID Type / Status
Subject Alfred Escher E484903 entity
Predicate placeOfDeath P21 FINISHED
Object Enge
Enge is a district of the Swiss city of Zurich, known historically as a residential and lakeside area that was once a separate municipality.
 E1373270 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: Enge | Statement: [Alfred Escher, placeOfDeath, Enge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enge
Context triple: [Alfred Escher, placeOfDeath, Enge]
  • A. Engenni
    Engenni is an ethnic group in Nigeria, primarily located in Rivers State, known for its distinct Engenni language and cultural traditions.
  • B. Engen
    Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
  • C. Engey
    Engey is a small uninhabited island in Iceland, located just off the coast of Reykjavík in Faxaflói Bay.
  • D. Enenga
    Enenga is a dialect of the Myene language spoken by communities in Gabon.
  • E. Enga
    Enga is the popular nickname of Vålerenga Fotball, a prominent Oslo-based Norwegian football club known for its passionate supporters.
  • 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: Enge
Triple: [Alfred Escher, placeOfDeath, Enge]
Generated description
Enge is a district of the Swiss city of Zurich, known historically as a residential and lakeside area that was once a separate municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enge
Target entity description: Enge is a district of the Swiss city of Zurich, known historically as a residential and lakeside area that was once a separate municipality.
  • A. Engenni
    Engenni is an ethnic group in Nigeria, primarily located in Rivers State, known for its distinct Engenni language and cultural traditions.
  • B. Engen
    Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
  • C. Engey
    Engey is a small uninhabited island in Iceland, located just off the coast of Reykjavík in Faxaflói Bay.
  • D. Enenga
    Enenga is a dialect of the Myene language spoken by communities in Gabon.
  • E. Enga
    Enga is the popular nickname of Vålerenga Fotball, a prominent Oslo-based Norwegian football club known for its passionate supporters.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b3ffa548190a060d6e94562a5d2 completed April 20, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b7ec8ac8190b9330f239e44f795 completed May 15, 2026, 2:19 p.m.
NEDg Description generation batch_6a072de198fc8190838ce30942cc46df completed May 15, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_6a072e5e62a88190af09d9911a6f1413 completed May 15, 2026, 2:31 p.m.
Created at: April 10, 2026, 1:35 p.m.