Triple
T3002916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Rea |
E81830
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Digbeth
Digbeth is a historic inner-city district of Birmingham, England, known for its industrial heritage and vibrant creative and nightlife scenes.
|
E321594
|
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: Digbeth | Statement: [River Rea, flowsThrough, Digbeth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digbeth Context triple: [River Rea, flowsThrough, Digbeth]
-
A.
Birmingham Ladywood
Birmingham Ladywood is a UK parliamentary constituency in inner-city Birmingham, historically notable for being represented by future Prime Minister Neville Chamberlain.
-
B.
Kings Norton
Kings Norton is a suburban area in the south of Birmingham, England, known for its historic village green, conservation area, and mix of residential and green spaces.
-
C.
Sandwell
Sandwell is a metropolitan borough in the West Midlands of England, forming part of the Birmingham conurbation and encompassing several former industrial towns.
-
D.
Whittington
Whittington is a small village in Norfolk, England, known for its rural character and proximity to the River Wissey.
-
E.
Whittington
Whittington is a University College London campus site associated primarily with medical and clinical education and research activities.
- 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: Digbeth Triple: [River Rea, flowsThrough, Digbeth]
Generated description
Digbeth is a historic inner-city district of Birmingham, England, known for its industrial heritage and vibrant creative and nightlife scenes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Digbeth Target entity description: Digbeth is a historic inner-city district of Birmingham, England, known for its industrial heritage and vibrant creative and nightlife scenes.
-
A.
Birmingham Ladywood
Birmingham Ladywood is a UK parliamentary constituency in inner-city Birmingham, historically notable for being represented by future Prime Minister Neville Chamberlain.
-
B.
Kings Norton
Kings Norton is a suburban area in the south of Birmingham, England, known for its historic village green, conservation area, and mix of residential and green spaces.
-
C.
Sandwell
Sandwell is a metropolitan borough in the West Midlands of England, forming part of the Birmingham conurbation and encompassing several former industrial towns.
-
D.
Whittington
Whittington is a small village in Norfolk, England, known for its rural character and proximity to the River Wissey.
-
E.
Whittington
Whittington is a University College London campus site associated primarily with medical and clinical education and research activities.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a1371c481909e214234afed1a65 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1dea3a31481908db6871cf6c37781 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1df85a39c8190ada558de530e3772 |
completed | March 11, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e3e6aeb48190914d62616ea0c7e1 |
completed | March 11, 2026, 9:51 p.m. |
Created at: March 8, 2026, 2:59 p.m.