Triple
T13798631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamarkameratene |
E331579
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
HAM-KAM
HAM-KAM is the commonly used abbreviation for Hamarkameratene, a Norwegian football club based in Hamar.
|
E1061954
|
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: HAM-KAM | Statement: [Hamarkameratene, hasAbbreviation, HAM-KAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HAM-KAM Context triple: [Hamarkameratene, hasAbbreviation, HAM-KAM]
-
A.
KAM
KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
-
B.
Kam
Kam is the name of an ethnic group in China and Southeast Asia, also known as the Dong people, who are recognized for their distinct Kam–Sui language and rich traditional culture.
-
C.
Hkamti
Hkamti is a town in northwestern Myanmar’s Sagaing Region, known as a remote river settlement and local trading center in the upper Chindwin valley.
-
D.
HKm Zvolen
HKm Zvolen is a professional ice hockey club from Zvolen, Slovakia, competing in the country’s top league and known as one of its prominent teams.
-
E.
KAMPI
KAMPI is a Philippine political party closely associated with former President Gloria Macapagal Arroyo and her administration.
- 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: HAM-KAM Triple: [Hamarkameratene, hasAbbreviation, HAM-KAM]
Generated description
HAM-KAM is the commonly used abbreviation for Hamarkameratene, a Norwegian football club based in Hamar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HAM-KAM Target entity description: HAM-KAM is the commonly used abbreviation for Hamarkameratene, a Norwegian football club based in Hamar.
-
A.
KAM
KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
-
B.
Kam
Kam is the name of an ethnic group in China and Southeast Asia, also known as the Dong people, who are recognized for their distinct Kam–Sui language and rich traditional culture.
-
C.
Hkamti
Hkamti is a town in northwestern Myanmar’s Sagaing Region, known as a remote river settlement and local trading center in the upper Chindwin valley.
-
D.
HKm Zvolen
HKm Zvolen is a professional ice hockey club from Zvolen, Slovakia, competing in the country’s top league and known as one of its prominent teams.
-
E.
KAMPI
KAMPI is a Philippine political party closely associated with former President Gloria Macapagal Arroyo and her administration.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b086d6d48190b823ed0a4403fbc5 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b138fda88190b2b7ffb51ce02a40 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b28ca218819097fc35042d3b278a |
completed | May 3, 2026, 8:39 p.m. |
Created at: April 9, 2026, 10:11 p.m.