Triple

T10042454
Position Surface form Disambiguated ID Type / Status
Subject Helsinki University Central Hospital E205328 entity
Predicate alsoKnownAs P39 FINISHED
Object HYKS
HYKS is the Finnish abbreviation for Helsinki University Central Hospital, one of Finland’s largest and most important university hospitals providing specialized medical care and research.
 E837578 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: HYKS | Statement: [Helsinki University Central Hospital, alsoKnownAs, HYKS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HYKS
Context triple: [Helsinki University Central Hospital, alsoKnownAs, HYKS]
  • A. HYS
    HYS is the National Rail station code for Hayes railway station in the London Borough of Bromley.
  • B. HKY
    HKY is the three-letter IATA airport code for Hickory Regional Airport in Hickory, North Carolina, USA.
  • C. HY
    HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • D. KHOP
    KHOP is the ICAO airport code for Campbell Army Airfield, a U.S. military airfield located at Fort Campbell on the Kentucky–Tennessee border.
  • E. HX
    HX is a postcode area in West Yorkshire, England, covering Halifax and surrounding towns including Hebden Bridge.
  • 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: HYKS
Triple: [Helsinki University Central Hospital, alsoKnownAs, HYKS]
Generated description
HYKS is the Finnish abbreviation for Helsinki University Central Hospital, one of Finland’s largest and most important university hospitals providing specialized medical care and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HYKS
Target entity description: HYKS is the Finnish abbreviation for Helsinki University Central Hospital, one of Finland’s largest and most important university hospitals providing specialized medical care and research.
  • A. HYS
    HYS is the National Rail station code for Hayes railway station in the London Borough of Bromley.
  • B. HKY
    HKY is the three-letter IATA airport code for Hickory Regional Airport in Hickory, North Carolina, USA.
  • C. HY
    HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • D. KHOP
    KHOP is the ICAO airport code for Campbell Army Airfield, a U.S. military airfield located at Fort Campbell on the Kentucky–Tennessee border.
  • E. HX
    HX is a postcode area in West Yorkshire, England, covering Halifax and surrounding towns including Hebden Bridge.
  • 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.