Triple
T14744116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niko Kapanen |
E346422
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object |
HPK
HPK is a professional ice hockey club from Hämeenlinna, Finland, competing in the country’s top-tier Liiga.
|
E1116975
|
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: HPK | Statement: [Niko Kapanen, playedFor, HPK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HPK Context triple: [Niko Kapanen, playedFor, HPK]
-
A.
HPKCC
HPKCC is a long-standing community organization in Chicago’s Hyde Park–Kenwood neighborhood that focuses on local advocacy, planning, and neighborhood improvement.
-
B.
KHPN
KHPN is the ICAO airport code for Westchester County Airport, a regional airport serving Westchester County, New York and the surrounding area.
-
C.
Hpakant
Hpakant is a town in northern Myanmar renowned as the center of the country’s lucrative and often controversial jade mining industry.
-
D.
PHKO
PHKO is the ICAO airport code for Kona International Airport serving the Kona district on Hawaii’s Big Island.
-
E.
HKKI
HKKI is the ICAO airport code for Kisumu International Airport, a major aviation hub serving the city of Kisumu in western Kenya.
- 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: HPK Triple: [Niko Kapanen, playedFor, HPK]
Generated description
HPK is a professional ice hockey club from Hämeenlinna, Finland, competing in the country’s top-tier Liiga.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HPK Target entity description: HPK is a professional ice hockey club from Hämeenlinna, Finland, competing in the country’s top-tier Liiga.
-
A.
HPKCC
HPKCC is a long-standing community organization in Chicago’s Hyde Park–Kenwood neighborhood that focuses on local advocacy, planning, and neighborhood improvement.
-
B.
KHPN
KHPN is the ICAO airport code for Westchester County Airport, a regional airport serving Westchester County, New York and the surrounding area.
-
C.
Hpakant
Hpakant is a town in northern Myanmar renowned as the center of the country’s lucrative and often controversial jade mining industry.
-
D.
PHKO
PHKO is the ICAO airport code for Kona International Airport serving the Kona district on Hawaii’s Big Island.
-
E.
HKKI
HKKI is the ICAO airport code for Kisumu International Airport, a major aviation hub serving the city of Kisumu in western Kenya.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d002708190a32a4a45e96fc389 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb93e94c8190beba605e26d4552c |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdff025e00819089ad734f74b64f26 |
completed | May 8, 2026, 3:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdff8bdefc8190a4a66c742e1cae83 |
completed | May 8, 2026, 3:21 p.m. |
Created at: April 10, 2026, 1:30 a.m.