Triple
T16661510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryhall |
E404869
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Essendine
Essendine is a small village and civil parish in Rutland, England, known for its rural character and historic church.
|
E1225951
|
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: Essendine | Statement: [Ryhall, hasNearbySettlement, Essendine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Essendine Context triple: [Ryhall, hasNearbySettlement, Essendine]
-
A.
Eythorne
Eythorne is a small village in Kent, England, known for its rural character and location near the port town of Dover.
-
B.
Umberleigh
Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
-
C.
Windlestone
Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
-
D.
Veresdale
Veresdale is a rural locality in Queensland, Australia, known for its agricultural landscape and small-community character within the Scenic Rim region.
-
E.
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.
- 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: Essendine Triple: [Ryhall, hasNearbySettlement, Essendine]
Generated description
Essendine is a small village and civil parish in Rutland, England, known for its rural character and historic church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Essendine Target entity description: Essendine is a small village and civil parish in Rutland, England, known for its rural character and historic church.
-
A.
Eythorne
Eythorne is a small village in Kent, England, known for its rural character and location near the port town of Dover.
-
B.
Umberleigh
Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
-
C.
Windlestone
Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
-
D.
Veresdale
Veresdale is a rural locality in Queensland, Australia, known for its agricultural landscape and small-community character within the Scenic Rim region.
-
E.
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.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfee5448190bb44c4dadba5dcbd |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084d091e0819088a98ef4aa775d07 |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a008585ba6c8190b5c870ebe1c93ffc |
completed | May 10, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008624706881909e9a265a37eeb3fc |
completed | May 10, 2026, 1:20 p.m. |
Created at: April 10, 2026, 5:18 a.m.