Triple
T1522781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacques Marquette |
E32266
|
entity |
| Predicate | languagesSpokenWrittenOrSigned |
P741
|
FINISHED |
| Object |
Huron
Huron is an Iroquoian language historically spoken by the Wyandot (Huron) people of the Great Lakes region in North America.
|
E186544
|
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: Huron | Statement: [Jacques Marquette, languagesSpokenWrittenOrSigned, Huron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huron Context triple: [Jacques Marquette, languagesSpokenWrittenOrSigned, Huron]
-
A.
Huron
Huron is a small agricultural city located in California’s San Joaquin Valley.
-
B.
Lake of the Woods
Lake of the Woods is a large, island-dotted freshwater lake in northwestern Ontario that extends into Manitoba and Minnesota and is known for its fishing, boating, and scenic wilderness.
-
C.
Manitowaning
Manitowaning is a small historic community on Manitoulin Island in Ontario, Canada, known as one of the island’s earliest European settlements and a local service and cultural centre.
-
D.
Waban
Waban is a village in the city of Newton, Massachusetts, known for its residential character and Green Line D branch MBTA station.
-
E.
Erie
Erie is a city in northwestern Pennsylvania on the shores of Lake Erie, known as a regional industrial and shipping center.
- 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: Huron Triple: [Jacques Marquette, languagesSpokenWrittenOrSigned, Huron]
Generated description
Huron is an Iroquoian language historically spoken by the Wyandot (Huron) people of the Great Lakes region in North America.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huron Target entity description: Huron is an Iroquoian language historically spoken by the Wyandot (Huron) people of the Great Lakes region in North America.
-
A.
Huron
Huron is a small agricultural city located in California’s San Joaquin Valley.
-
B.
Lake of the Woods
Lake of the Woods is a large, island-dotted freshwater lake in northwestern Ontario that extends into Manitoba and Minnesota and is known for its fishing, boating, and scenic wilderness.
-
C.
Manitowaning
Manitowaning is a small historic community on Manitoulin Island in Ontario, Canada, known as one of the island’s earliest European settlements and a local service and cultural centre.
-
D.
Waban
Waban is a village in the city of Newton, Massachusetts, known for its residential character and Green Line D branch MBTA station.
-
E.
Erie
Erie is a city in northwestern Pennsylvania on the shores of Lake Erie, known as a regional industrial and shipping center.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90800433c8190b23ae2860493a16e |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6085199c8190868aef3c28842d4e |
completed | March 8, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_69ad620fe35481909bf4751001e29161 |
completed | March 8, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad626d42388190b6a961a84333bd21 |
completed | March 8, 2026, 11:50 a.m. |
Created at: March 4, 2026, 7:26 p.m.