Triple

T10042448
Position Surface form Disambiguated ID Type / Status
Subject Helsinki University Central Hospital E205328 entity
Predicate shortName P43 FINISHED
Object HUCH
HUCH is a major Finnish hospital complex that serves as the central teaching and research hospital for the University of Helsinki and a key provider of specialized medical care in the Helsinki region.
 E837577 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: HUCH | Statement: [Helsinki University Central Hospital, shortName, HUCH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HUCH
Context triple: [Helsinki University Central Hospital, shortName, HUCH]
  • A. HUF
    HUF is the currency code for the Hungarian forint, the official currency of Hungary.
  • B. Hella
    Hella is a central character in James Baldwin’s novel "Giovanni’s Room," serving as the protagonist’s fiancée and a key figure in exploring themes of sexuality, identity, and societal expectations.
  • C. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • D. Hu
    Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
  • E. Uesen
    Uesen is a district or locality within the town of Achim in Lower Saxony, Germany.
  • 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: HUCH
Triple: [Helsinki University Central Hospital, shortName, HUCH]
Generated description
HUCH is a major Finnish hospital complex that serves as the central teaching and research hospital for the University of Helsinki and a key provider of specialized medical care in the Helsinki region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HUCH
Target entity description: HUCH is a major Finnish hospital complex that serves as the central teaching and research hospital for the University of Helsinki and a key provider of specialized medical care in the Helsinki region.
  • A. HUF
    HUF is the currency code for the Hungarian forint, the official currency of Hungary.
  • B. Hella
    Hella is a central character in James Baldwin’s novel "Giovanni’s Room," serving as the protagonist’s fiancée and a key figure in exploring themes of sexuality, identity, and societal expectations.
  • C. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • D. Hu
    Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
  • E. Uesen
    Uesen is a district or locality within the town of Achim in Lower Saxony, Germany.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf60a2208190846e57b5f5649307 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28278235c8190a5e833a9586bd3f5 completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d28391f8fc8190964cdccaf5625617 completed April 5, 2026, 3:45 p.m.
NED2 Entity disambiguation (via description) batch_69d284604dc88190b452ee847d3390dd completed April 5, 2026, 3:48 p.m.
Created at: March 30, 2026, 8:55 p.m.