Triple
T2983800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torquay |
E80572
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Livermead
Livermead is a coastal residential area of Torquay in Devon, England, known for its seafront location and proximity to the town’s beaches and amenities.
|
E316378
|
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: Livermead | Statement: [Torquay, hasNeighbourhood, Livermead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Livermead Context triple: [Torquay, hasNeighbourhood, Livermead]
-
A.
Mead
Mead is a common English surname borne by various notable individuals, including the influential cultural anthropologist Margaret Mead.
-
B.
Meads
Meads is a surname most notably associated with New Zealand rugby legend Colin Meads.
-
C.
Old Grog
Old Grog was the nickname of British Admiral Edward Vernon, known for his role in the Royal Navy and for introducing diluted rum rations to sailors.
-
D.
League of Cognac
The League of Cognac was an anti-imperial alliance formed in 1526 by major European powers, including France and several Italian states, to counter the dominance of Emperor Charles V in Italy.
-
E.
Beery
Beery is a surname most notably associated with the American acting family that includes character actor Noah Beery and his relatives.
- 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: Livermead Triple: [Torquay, hasNeighbourhood, Livermead]
Generated description
Livermead is a coastal residential area of Torquay in Devon, England, known for its seafront location and proximity to the town’s beaches and amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Livermead Target entity description: Livermead is a coastal residential area of Torquay in Devon, England, known for its seafront location and proximity to the town’s beaches and amenities.
-
A.
Mead
Mead is a common English surname borne by various notable individuals, including the influential cultural anthropologist Margaret Mead.
-
B.
Meads
Meads is a surname most notably associated with New Zealand rugby legend Colin Meads.
-
C.
Old Grog
Old Grog was the nickname of British Admiral Edward Vernon, known for his role in the Royal Navy and for introducing diluted rum rations to sailors.
-
D.
League of Cognac
The League of Cognac was an anti-imperial alliance formed in 1526 by major European powers, including France and several Italian states, to counter the dominance of Emperor Charles V in Italy.
-
E.
Beery
Beery is a surname most notably associated with the American acting family that includes character actor Noah Beery and his relatives.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c481fc81909971c96352a881b4 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108f8b2b08190904cf89befe656dd |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10bacb1588190868ae703c437e57e |
completed | March 11, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10bf903748190a203f0ea97332212 |
completed | March 11, 2026, 6:30 a.m. |
Created at: March 8, 2026, 2:59 p.m.