Triple
T17657868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurum |
E440171
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Verket
Verket is a small locality within the municipality of Hurum in Norway, known for its scenic coastal setting along the Oslofjord.
|
E1281259
|
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: Verket | Statement: [Hurum, contains, Verket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verket Context triple: [Hurum, contains, Verket]
-
A.
Strømmens Værksted
Strømmens Værksted was a Norwegian industrial company best known for producing railway rolling stock and trams.
-
B.
Die Werkself
Die Werkself is the popular nickname of German football club Bayer 04 Leverkusen, reflecting its roots as a team founded by workers at the Bayer pharmaceutical company.
-
C.
Bölverk
Bölverk is an alias used by the Norse god Odin when he schemes to obtain the mead of poetry from the giantess Gunnlöð.
-
D.
Kultorvet
Kultorvet is a historic public square and marketplace in central Copenhagen, Denmark, known for its shops, cafés, and pedestrian-friendly urban space.
-
E.
Alværn
Alværn is a small settlement in Nesodden municipality in Viken county, Norway, known primarily as a residential area within commuting distance of Oslo.
- 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: Verket Triple: [Hurum, contains, Verket]
Generated description
Verket is a small locality within the municipality of Hurum in Norway, known for its scenic coastal setting along the Oslofjord.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verket Target entity description: Verket is a small locality within the municipality of Hurum in Norway, known for its scenic coastal setting along the Oslofjord.
-
A.
Strømmens Værksted
Strømmens Værksted was a Norwegian industrial company best known for producing railway rolling stock and trams.
-
B.
Die Werkself
Die Werkself is the popular nickname of German football club Bayer 04 Leverkusen, reflecting its roots as a team founded by workers at the Bayer pharmaceutical company.
-
C.
Bölverk
Bölverk is an alias used by the Norse god Odin when he schemes to obtain the mead of poetry from the giantess Gunnlöð.
-
D.
Kultorvet
Kultorvet is a historic public square and marketplace in central Copenhagen, Denmark, known for its shops, cafés, and pedestrian-friendly urban space.
-
E.
Alværn
Alværn is a small settlement in Nesodden municipality in Viken county, Norway, known primarily as a residential area within commuting distance of Oslo.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea3b4cc81908eec7032cf221d49 |
completed | April 19, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0216584eb88190afa898efae284934 |
completed | May 11, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_6a0218a828548190b492e721e546f224 |
completed | May 11, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02193505ec8190800570487768cf07 |
completed | May 11, 2026, 6 p.m. |
Created at: April 10, 2026, 9:28 a.m.