Triple
T19417581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Blazey |
E485761
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Luxulyan
Luxulyan is a rural village and civil parish in Cornwall, England, known for its scenic valley and the historic Luxulyan Valley industrial heritage site.
|
E1375023
|
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: Luxulyan | Statement: [St Blazey, near, Luxulyan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luxulyan Context triple: [St Blazey, near, Luxulyan]
-
A.
Ara Celi
Ara Celi is an American actress best known for her roles in genre films and television, including a prominent part in the From Dusk Till Dawn franchise.
-
B.
Menetes
Menetes is a traditional mountain village on the Greek island of Karpathos, known for its colorful houses, narrow alleys, and panoramic views over the Aegean Sea.
-
C.
Menetes
Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
-
D.
Glanum
Glanum is an ancient Greco-Roman city in southern France known for its well-preserved ruins and monumental architecture.
-
E.
Sumqayit
Sumqayit is a major industrial city on the Caspian Sea coast of Azerbaijan, known for its large chemical and metallurgical complexes.
- 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: Luxulyan Triple: [St Blazey, near, Luxulyan]
Generated description
Luxulyan is a rural village and civil parish in Cornwall, England, known for its scenic valley and the historic Luxulyan Valley industrial heritage site.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luxulyan Target entity description: Luxulyan is a rural village and civil parish in Cornwall, England, known for its scenic valley and the historic Luxulyan Valley industrial heritage site.
-
A.
Ara Celi
Ara Celi is an American actress best known for her roles in genre films and television, including a prominent part in the From Dusk Till Dawn franchise.
-
B.
Menetes
Menetes is a traditional mountain village on the Greek island of Karpathos, known for its colorful houses, narrow alleys, and panoramic views over the Aegean Sea.
-
C.
Menetes
Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
-
D.
Glanum
Glanum is an ancient Greco-Roman city in southern France known for its well-preserved ruins and monumental architecture.
-
E.
Sumqayit
Sumqayit is a major industrial city on the Caspian Sea coast of Azerbaijan, known for its large chemical and metallurgical complexes.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62afad8d881908f1de6324e55d2f6 |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733ce2e6081909e8baebf638747f1 |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a0734cfc2488190a488c40431a0b612 |
completed | May 15, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0735c38b7881908489916ff2f2883e |
completed | May 15, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.