Triple
T2170021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keston |
E48400
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object |
Keston Mark
Keston Mark is a locality within the village of Keston in the London Borough of Bromley, England.
|
E239208
|
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: Keston Mark | Statement: [Keston, hasFeature, Keston Mark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keston Mark Context triple: [Keston, hasFeature, Keston Mark]
-
A.
Emmet Brickowski
Emmet Brickowski is the optimistic everyman construction worker who becomes an unlikely hero and "Special" in the animated film *The Lego Movie*.
-
B.
Nicholas Hannen
Nicholas Hannen was a British stage and film actor known for his classical performances, including roles in mid-20th-century Shakespearean adaptations.
-
C.
Nicholas Lucas
Nicholas Lucas was an early colonial leader known for helping establish the West Jersey settlement in what is now New Jersey.
-
D.
Miles Smith
Miles Smith was an English theologian and bishop best known as one of the principal translators and editors of the King James Version of the Bible.
-
E.
Ryan Stokes
Ryan Stokes is an Australian businessman and company director known for his leadership roles in major cultural and corporate institutions.
- 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: Keston Mark Triple: [Keston, hasFeature, Keston Mark]
Generated description
Keston Mark is a locality within the village of Keston in the London Borough of Bromley, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keston Mark Target entity description: Keston Mark is a locality within the village of Keston in the London Borough of Bromley, England.
-
A.
Emmet Brickowski
Emmet Brickowski is the optimistic everyman construction worker who becomes an unlikely hero and "Special" in the animated film *The Lego Movie*.
-
B.
Nicholas Hannen
Nicholas Hannen was a British stage and film actor known for his classical performances, including roles in mid-20th-century Shakespearean adaptations.
-
C.
Nicholas Lucas
Nicholas Lucas was an early colonial leader known for helping establish the West Jersey settlement in what is now New Jersey.
-
D.
Miles Smith
Miles Smith was an English theologian and bishop best known as one of the principal translators and editors of the King James Version of the Bible.
-
E.
Ryan Stokes
Ryan Stokes is an Australian businessman and company director known for his leadership roles in major cultural and corporate institutions.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbeaeb58881908ad34f7b253bac2a |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58f511a08190880fbde8900d59df |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae59a9b010819081491e988184b386 |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a12f11c81908cc345905f0a485e |
completed | March 9, 2026, 5:26 a.m. |
Created at: March 4, 2026, 7:45 p.m.