Triple
T10002233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Ellendun |
E197354
|
entity |
| Predicate | place |
P373
|
FINISHED |
| Object |
Ellendun
Ellendun was an early medieval English settlement best known as the site of a pivotal 9th-century battle that helped shift the balance of power among the Anglo-Saxon kingdoms.
|
E833758
|
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: Ellendun | Statement: [Battle of Ellendun, place, Ellendun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellendun Context triple: [Battle of Ellendun, place, Ellendun]
-
A.
Shenstone
Shenstone is a village in Staffordshire, England, served by a railway station on the Cross-City Line between Birmingham and Lichfield.
-
B.
Windlestone
Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
-
C.
Eythorne
Eythorne is a small village in Kent, England, known for its rural character and location near the port town of Dover.
-
D.
Ilminster
Ilminster is a historic market town in Somerset, England, known for its medieval church and traditional rural character.
-
E.
Brighthelmstone
Brighthelmstone is the historic name of the English coastal town now known as Brighton, a popular seaside resort on the south coast of England.
- 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: Ellendun Triple: [Battle of Ellendun, place, Ellendun]
Generated description
Ellendun was an early medieval English settlement best known as the site of a pivotal 9th-century battle that helped shift the balance of power among the Anglo-Saxon kingdoms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ellendun Target entity description: Ellendun was an early medieval English settlement best known as the site of a pivotal 9th-century battle that helped shift the balance of power among the Anglo-Saxon kingdoms.
-
A.
Shenstone
Shenstone is a village in Staffordshire, England, served by a railway station on the Cross-City Line between Birmingham and Lichfield.
-
B.
Windlestone
Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
-
C.
Eythorne
Eythorne is a small village in Kent, England, known for its rural character and location near the port town of Dover.
-
D.
Ilminster
Ilminster is a historic market town in Somerset, England, known for its medieval church and traditional rural character.
-
E.
Brighthelmstone
Brighthelmstone is the historic name of the English coastal town now known as Brighton, a popular seaside resort on the south coast of England.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc9078788190a4e75dd7ff830c63 |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d25857f0988190aebe8951f7c0ef86 |
completed | April 5, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69d2594b5e5081908f7cc4af4d10b4a8 |
completed | April 5, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25a31c158819096163ba8107523f1 |
completed | April 5, 2026, 12:48 p.m. |
Created at: March 30, 2026, 8:51 p.m.