Triple
T17731888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namsos municipality |
E442605
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Spillum
Spillum is a small village in Trøndelag county, Norway, situated just south of the town of Namsos along the Namsenfjorden.
|
E1285033
|
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: Spillum | Statement: [Namsos municipality, hasSettlement, Spillum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spillum Context triple: [Namsos municipality, hasSettlement, Spillum]
-
A.
Spiller
Spiller is a surname of English origin borne by various notable individuals across fields such as sports, entertainment, and the arts.
-
B.
Oyunuma
Oyunuma is a hot sulfuric crater lake in Noboribetsu, Hokkaido, known for its steaming waters, strong volcanic activity, and surrounding geothermal landscape.
-
C.
Spilka
Spilka is a surname most notably associated with Karen E. Spilka, an American politician and attorney who has served as President of the Massachusetts Senate.
-
D.
Ludens
Ludens is the futuristic, spacesuit-clad mascot character of Kojima Productions, prominently featured in the studio’s branding and promotional materials.
-
E.
Žehra
Žehra is a historic village in eastern Slovakia renowned for its UNESCO-listed Gothic church and its proximity to the medieval Spiš Castle.
- 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: Spillum Triple: [Namsos municipality, hasSettlement, Spillum]
Generated description
Spillum is a small village in Trøndelag county, Norway, situated just south of the town of Namsos along the Namsenfjorden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spillum Target entity description: Spillum is a small village in Trøndelag county, Norway, situated just south of the town of Namsos along the Namsenfjorden.
-
A.
Spiller
Spiller is a surname of English origin borne by various notable individuals across fields such as sports, entertainment, and the arts.
-
B.
Oyunuma
Oyunuma is a hot sulfuric crater lake in Noboribetsu, Hokkaido, known for its steaming waters, strong volcanic activity, and surrounding geothermal landscape.
-
C.
Spilka
Spilka is a surname most notably associated with Karen E. Spilka, an American politician and attorney who has served as President of the Massachusetts Senate.
-
D.
Ludens
Ludens is the futuristic, spacesuit-clad mascot character of Kojima Productions, prominently featured in the studio’s branding and promotional materials.
-
E.
Žehra
Žehra is a historic village in eastern Slovakia renowned for its UNESCO-listed Gothic church and its proximity to the medieval Spiš Castle.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e7773081909dadb90ff5cb0906 |
completed | April 19, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0242f577ac8190bc6c258ed79c0f3f |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a024432dae081908718b4d9fa156858 |
completed | May 11, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0244ad73388190b5b99ccbbd357d77 |
completed | May 11, 2026, 9:05 p.m. |
Created at: April 10, 2026, 10:08 a.m.