Triple
T14380295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolastoq |
E356581
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object |
Wəlastəkw
Wəlastəkw is the Indigenous name used by the Wolastoqiyik (Maliseet) people for the Saint John River in eastern Canada, meaning “Beautiful River.”
|
E1096101
|
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: Wəlastəkw | Statement: [Wolastoq, hasAlternativeSpelling, Wəlastəkw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wəlastəkw Context triple: [Wolastoq, hasAlternativeSpelling, Wəlastəkw]
-
A.
Wusse
Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
-
B.
Willat
Willat is a surname most notably associated with American silent film director Irving Willat.
-
C.
Owaneco
Owaneco was a prominent Mohegan sachem (chief) known for his leadership and land dealings in colonial New England during the late 17th and early 18th centuries.
-
D.
Wallot
Wallot is a German surname most notably associated with architect Paul Wallot, designer of the Reichstag building in Berlin.
-
E.
Walo
Walo is a specific subgroup within the Dogon languages, a cluster of closely related languages spoken primarily in Mali.
- 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: Wəlastəkw Triple: [Wolastoq, hasAlternativeSpelling, Wəlastəkw]
Generated description
Wəlastəkw is the Indigenous name used by the Wolastoqiyik (Maliseet) people for the Saint John River in eastern Canada, meaning “Beautiful River.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wəlastəkw Target entity description: Wəlastəkw is the Indigenous name used by the Wolastoqiyik (Maliseet) people for the Saint John River in eastern Canada, meaning “Beautiful River.”
-
A.
Wusse
Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
-
B.
Willat
Willat is a surname most notably associated with American silent film director Irving Willat.
-
C.
Owaneco
Owaneco was a prominent Mohegan sachem (chief) known for his leadership and land dealings in colonial New England during the late 17th and early 18th centuries.
-
D.
Wallot
Wallot is a German surname most notably associated with architect Paul Wallot, designer of the Reichstag building in Berlin.
-
E.
Walo
Walo is a specific subgroup within the Dogon languages, a cluster of closely related languages spoken primarily in Mali.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900bbfb08190a1e56f281a2374c0 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c590660819090652e75418f2747 |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e4bae188190a8d1c5b833d58cd8 |
completed | May 8, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4f5782b4819081d32dbef032ac61 |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 10, 2026, 1:16 a.m.