Triple
T4083762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salisbury |
E87538
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Bemerton
Bemerton is a small suburban village and parish on the western edge of Salisbury in Wiltshire, England, historically associated with the poet-priest George Herbert.
|
E411664
|
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: Bemerton | Statement: [Salisbury, hasLandmark, Bemerton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bemerton Context triple: [Salisbury, hasLandmark, Bemerton]
-
A.
Valdeblore
Valdeblore is a mountain commune in southeastern France known for its ski resort La Colmiane and its location in the southern Alps near the Mercantour National Park.
-
B.
Eythorne
Eythorne is a small village in Kent, England, known for its rural character and location near the port town of Dover.
-
C.
Lorath
Lorath is a remote, lesser-known Free City in the world of "A Song of Ice and Fire," situated on islands off the northeastern coast of Essos.
-
D.
Vesoul
Vesoul is a commune in eastern France that serves as the administrative center (prefecture) of the Haute-Saône department.
-
E.
Hightown
Hightown is a coastal village in Merseyside, England, known for its beaches, dunes, and position between Liverpool and Southport.
- 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: Bemerton Triple: [Salisbury, hasLandmark, Bemerton]
Generated description
Bemerton is a small suburban village and parish on the western edge of Salisbury in Wiltshire, England, historically associated with the poet-priest George Herbert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bemerton Target entity description: Bemerton is a small suburban village and parish on the western edge of Salisbury in Wiltshire, England, historically associated with the poet-priest George Herbert.
-
A.
Valdeblore
Valdeblore is a mountain commune in southeastern France known for its ski resort La Colmiane and its location in the southern Alps near the Mercantour National Park.
-
B.
Eythorne
Eythorne is a small village in Kent, England, known for its rural character and location near the port town of Dover.
-
C.
Lorath
Lorath is a remote, lesser-known Free City in the world of "A Song of Ice and Fire," situated on islands off the northeastern coast of Essos.
-
D.
Vesoul
Vesoul is a commune in eastern France that serves as the administrative center (prefecture) of the Haute-Saône department.
-
E.
Hightown
Hightown is a coastal village in Merseyside, England, known for its beaches, dunes, and position between Liverpool and Southport.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7a4b488190ab466e2c50329ab3 |
completed | March 9, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562c6456081908cca823ebb13936a |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b563b5cc108190bb9684abafa608af |
completed | March 14, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5646606f08190930451ac372154cd |
completed | March 14, 2026, 1:36 p.m. |
Created at: March 9, 2026, 3:39 p.m.