Triple
T5393586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cranfield Aerospace |
E120593
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object |
Cranfield
Cranfield is a village in Bedfordshire, England, best known for hosting Cranfield University and its associated aerospace and technology facilities.
|
E517297
|
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: Cranfield | Statement: [Cranfield Aerospace, basedIn, Cranfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cranfield Context triple: [Cranfield Aerospace, basedIn, Cranfield]
-
A.
Brackley
Brackley is a historic market town in southern Northamptonshire, England, known for its medieval origins and proximity to the Silverstone motor racing circuit.
-
B.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
-
C.
Huntingdon
Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
-
D.
Aldermaston
Aldermaston is an English village in Berkshire best known as the site of major anti-nuclear weapons protests and marches.
-
E.
Burnham Norton
Burnham Norton is a small coastal village in Norfolk, England, known for its historic church and saltmarsh landscape near the North Sea.
- 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: Cranfield Triple: [Cranfield Aerospace, basedIn, Cranfield]
Generated description
Cranfield is a village in Bedfordshire, England, best known for hosting Cranfield University and its associated aerospace and technology facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cranfield Target entity description: Cranfield is a village in Bedfordshire, England, best known for hosting Cranfield University and its associated aerospace and technology facilities.
-
A.
Brackley
Brackley is a historic market town in southern Northamptonshire, England, known for its medieval origins and proximity to the Silverstone motor racing circuit.
-
B.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
-
C.
Huntingdon
Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
-
D.
Aldermaston
Aldermaston is an English village in Berkshire best known as the site of major anti-nuclear weapons protests and marches.
-
E.
Burnham Norton
Burnham Norton is a small coastal village in Norfolk, England, known for its historic church and saltmarsh landscape near the North Sea.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd871b81d08190993928e2c6251226 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf336d43a081909ab05d237c297c7b |
completed | March 22, 2026, 12:10 a.m. |
| NEDg | Description generation | batch_69bf33e3b9ac819091cb000a98a505cd |
completed | March 22, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf349a746481909a8ba2a854e29449 |
completed | March 22, 2026, 12:15 a.m. |
Created at: March 20, 2026, 2:04 p.m.