Triple
T1827129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Cambridgeshire |
E40677
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Harston
Harston is a village and civil parish in the South Cambridgeshire district of Cambridgeshire, England.
|
E203266
|
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: Harston | Statement: [South Cambridgeshire, containsSettlement, Harston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harston Context triple: [South Cambridgeshire, containsSettlement, Harston]
-
A.
Harrold
Harrold is a given name and surname, used as a variant spelling of Harold.
-
B.
Snodland
Snodland is a small town in Kent, England, known historically for its cement and paper industries and its location between Maidstone and Rochester.
-
C.
Hylton
Hylton is the defendant in the landmark 1796 U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
-
D.
Huntingdon
Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
-
E.
Hannington
Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
- 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: Harston Triple: [South Cambridgeshire, containsSettlement, Harston]
Generated description
Harston is a village and civil parish in the South Cambridgeshire district of Cambridgeshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harston Target entity description: Harston is a village and civil parish in the South Cambridgeshire district of Cambridgeshire, England.
-
A.
Harrold
Harrold is a given name and surname, used as a variant spelling of Harold.
-
B.
Snodland
Snodland is a small town in Kent, England, known historically for its cement and paper industries and its location between Maidstone and Rochester.
-
C.
Hylton
Hylton is the defendant in the landmark 1796 U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
-
D.
Huntingdon
Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
-
E.
Hannington
Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb01022108190b1da05a31454ab8d |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf6b4bdc8190b53dbdc9c31e3685 |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adc07fff60819092b10dd0e417ac5a |
completed | March 8, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc0fd79c48190864f53a90517edc6 |
completed | March 8, 2026, 6:33 p.m. |
Created at: March 4, 2026, 7:32 p.m.