Triple
T3145333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamar municipality |
E65749
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
hamarværing
A hamarværing is a resident or native of Hamar, a town and municipality in Innlandet county, Norway.
|
E331567
|
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: hamarværing | Statement: [Hamar municipality, hasDemonym, hamarværing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: hamarværing Context triple: [Hamar municipality, hasDemonym, hamarværing]
-
A.
Ham
Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
-
B.
harae
Harae is a central Shinto purification ritual intended to cleanse spiritual impurity and restore harmony between people, nature, and the kami.
-
C.
Iuvavum
Iuvavum was a major Roman-era settlement in the province of Noricum, located at the site of present-day Salzburg in Austria.
-
D.
HAV
HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
-
E.
Vahka
Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
- 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: hamarværing Triple: [Hamar municipality, hasDemonym, hamarværing]
Generated description
A hamarværing is a resident or native of Hamar, a town and municipality in Innlandet county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: hamarværing Target entity description: A hamarværing is a resident or native of Hamar, a town and municipality in Innlandet county, Norway.
-
A.
Ham
Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
-
B.
harae
Harae is a central Shinto purification ritual intended to cleanse spiritual impurity and restore harmony between people, nature, and the kami.
-
C.
Iuvavum
Iuvavum was a major Roman-era settlement in the province of Noricum, located at the site of present-day Salzburg in Austria.
-
D.
HAV
HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
-
E.
Vahka
Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59797788190a8d71262888c5df0 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f18e80819083be53c556d56947 |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b2271961048190906b6fa25e4b560c |
completed | March 12, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b227becba08190b5e4b3dae277ce51 |
completed | March 12, 2026, 2:41 a.m. |
Created at: March 8, 2026, 3:05 p.m.