Triple
T635784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Trent |
E16617
|
entity |
| Predicate | tributary |
P415
|
FINISHED |
| Object |
River Sow
The River Sow is a river in Staffordshire, England, that flows through the town of Stafford before joining the River Trent.
|
E88254
|
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: River Sow | Statement: [River Trent, tributary, River Sow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Sow Context triple: [River Trent, tributary, River Sow]
-
A.
Asshewaqua
Asshewaqua was the wife of the Sauk leader Black Hawk, a prominent Native American figure in early 19th-century United States history.
-
B.
Ourthe River
The Ourthe River is a major watercourse in southeastern Belgium that flows through the Ardennes region before joining the Meuse River.
-
C.
Ranna
Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
-
D.
Opalescent River
The Opalescent River is a scenic mountain river in New York’s Adirondack High Peaks region, known as one of the headwater streams contributing to the Hudson River.
-
E.
River Chor
The River Chor is a small river in Lancashire, England, that flows through the town of Chorley and lends its name to the area.
- 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: River Sow Triple: [River Trent, tributary, River Sow]
Generated description
The River Sow is a river in Staffordshire, England, that flows through the town of Stafford before joining the River Trent.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: River Sow Target entity description: The River Sow is a river in Staffordshire, England, that flows through the town of Stafford before joining the River Trent.
-
A.
Asshewaqua
Asshewaqua was the wife of the Sauk leader Black Hawk, a prominent Native American figure in early 19th-century United States history.
-
B.
Ourthe River
The Ourthe River is a major watercourse in southeastern Belgium that flows through the Ardennes region before joining the Meuse River.
-
C.
Ranna
Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
-
D.
Opalescent River
The Opalescent River is a scenic mountain river in New York’s Adirondack High Peaks region, known as one of the headwater streams contributing to the Hudson River.
-
E.
River Chor
The River Chor is a small river in Lancashire, England, that flows through the town of Chorley and lends its name to the area.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee667f08190a0332b8f6c569e1a |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a4ba2d88190969e7c777a1bbfd7 |
completed | March 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69a64e773be08190abd15ff6ad35f37b |
completed | March 3, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a64edbfbe08190b49d26d572e3a484 |
completed | March 3, 2026, 3 a.m. |
Created at: March 1, 2026, 7:35 p.m.