Triple
T19245737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Census Division No. 9, Saskatchewan |
E481247
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Stenen
Stenen is a small village located in the east-central region of the Canadian province of Saskatchewan.
|
E1366027
|
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: Stenen | Statement: [Census Division No. 9, Saskatchewan, contains, Stenen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stenen Context triple: [Census Division No. 9, Saskatchewan, contains, Stenen]
-
A.
Steine
Steine is a small coastal village located on the island municipality of Vestvågøy in Norway’s Lofoten archipelago.
-
B.
Stonem
Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
-
C.
Snekkersten
Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
-
D.
Stavenisse
Stavenisse is a small village in the Dutch province of Zeeland, located on the island of Tholen and known for its dike landscapes and fishing heritage.
-
E.
Stepstones
The Stepstones are a chain of small, strategically vital islands in the Narrow Sea of the world of "A Song of Ice and Fire," known for their treacherous waters, piracy, and contested control by nearby powers.
- 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: Stenen Triple: [Census Division No. 9, Saskatchewan, contains, Stenen]
Generated description
Stenen is a small village located in the east-central region of the Canadian province of Saskatchewan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stenen Target entity description: Stenen is a small village located in the east-central region of the Canadian province of Saskatchewan.
-
A.
Steine
Steine is a small coastal village located on the island municipality of Vestvågøy in Norway’s Lofoten archipelago.
-
B.
Stonem
Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
-
C.
Snekkersten
Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
-
D.
Stavenisse
Stavenisse is a small village in the Dutch province of Zeeland, located on the island of Tholen and known for its dike landscapes and fishing heritage.
-
E.
Stepstones
The Stepstones are a chain of small, strategically vital islands in the Narrow Sea of the world of "A Song of Ice and Fire," known for their treacherous waters, piracy, and contested control by nearby powers.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb2c34e88190a338e5a7ba906425 |
completed | April 20, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0705e0e9208190ab6857bdc61ad22e |
completed | May 15, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a0706a7ff54819095a52f8d77d18060 |
completed | May 15, 2026, 11:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070731b0888190a1f93236b36302a6 |
completed | May 15, 2026, 11:44 a.m. |
Created at: April 10, 2026, 1:27 p.m.