Triple
T14090243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Stort |
E339107
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Lower Sheering
Lower Sheering is a small settlement in Essex, England, situated close to the River Stort and near the town of Sawbridgeworth.
|
E1080237
|
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: Lower Sheering | Statement: [River Stort, passesNear, Lower Sheering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lower Sheering Context triple: [River Stort, passesNear, Lower Sheering]
-
A.
Shearmur
Shearmur is a surname most notably associated with film producer Allison Shearmur, known for her work on major Hollywood franchises.
-
B.
Black Down
Black Down is the highest and one of the most prominent upland areas in the Mendip Hills of Somerset, England, known for its open heathland, archaeological sites, and extensive views.
-
C.
Shealy
Shealy is a character in August Wilson's play "Jitney," known as a numbers runner who frequents the jitney station and adds humor and tension to the ensemble.
-
D.
Shearer West
Shearer West is a British art historian and academic leader who serves as Vice-Chancellor of the University of Nottingham.
-
E.
Shorne
Shorne is a village in north-west Kent, England, known for its rural character and proximity to the Shorne Woods Country Park.
- 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: Lower Sheering Triple: [River Stort, passesNear, Lower Sheering]
Generated description
Lower Sheering is a small settlement in Essex, England, situated close to the River Stort and near the town of Sawbridgeworth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lower Sheering Target entity description: Lower Sheering is a small settlement in Essex, England, situated close to the River Stort and near the town of Sawbridgeworth.
-
A.
Shearmur
Shearmur is a surname most notably associated with film producer Allison Shearmur, known for her work on major Hollywood franchises.
-
B.
Black Down
Black Down is the highest and one of the most prominent upland areas in the Mendip Hills of Somerset, England, known for its open heathland, archaeological sites, and extensive views.
-
C.
Shealy
Shealy is a character in August Wilson's play "Jitney," known as a numbers runner who frequents the jitney station and adds humor and tension to the ensemble.
-
D.
Shearer West
Shearer West is a British art historian and academic leader who serves as Vice-Chancellor of the University of Nottingham.
-
E.
Shorne
Shorne is a village in north-west Kent, England, known for its rural character and proximity to the Shorne Woods Country Park.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee3213c8190af2853a2a5b302a2 |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a7aab88190949cf1fd8e11b050 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd5ad82388190a196d811734cdca2 |
completed | May 7, 2026, 6:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd63a114881909ff7b2df937d24df |
completed | May 7, 2026, 6:13 p.m. |
Created at: April 9, 2026, 10:21 p.m.