Triple
T20860753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Restormel Borough Council |
E513610
|
entity |
| Predicate | hasJurisdiction |
P285
|
FINISHED |
| Object |
Roche
Roche is a village and civil parish in Cornwall, England, known for its distinctive granite outcrop and historic chapel perched on Roche Rock.
|
E1454201
|
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: Roche | Statement: [Restormel Borough Council, hasJurisdiction, Roche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roche Context triple: [Restormel Borough Council, hasJurisdiction, Roche]
-
A.
Roche
Roche is a major Swiss multinational healthcare company and one of the world’s leading pharmaceutical and diagnostics firms.
-
B.
Roche
Roche is a common surname of French origin borne by various notable individuals across fields such as architecture, politics, and the arts.
-
C.
Novartis
Novartis is a global Swiss-based pharmaceutical company known for developing innovative medicines across a wide range of therapeutic areas.
-
D.
Sandoz
Sandoz is a historic Swiss pharmaceutical company best known as a predecessor of Novartis and a major player in generic medicines.
-
E.
Sanofi
Sanofi is a major French multinational pharmaceutical company known for developing prescription medicines, vaccines, and consumer healthcare products worldwide.
- 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: Roche Triple: [Restormel Borough Council, hasJurisdiction, Roche]
Generated description
Roche is a village and civil parish in Cornwall, England, known for its distinctive granite outcrop and historic chapel perched on Roche Rock.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roche Target entity description: Roche is a village and civil parish in Cornwall, England, known for its distinctive granite outcrop and historic chapel perched on Roche Rock.
-
A.
Roche
Roche is a major Swiss multinational healthcare company and one of the world’s leading pharmaceutical and diagnostics firms.
-
B.
Roche
Roche is a common surname of French origin borne by various notable individuals across fields such as architecture, politics, and the arts.
-
C.
Novartis
Novartis is a global Swiss-based pharmaceutical company known for developing innovative medicines across a wide range of therapeutic areas.
-
D.
Sandoz
Sandoz is a historic Swiss pharmaceutical company best known as a predecessor of Novartis and a major player in generic medicines.
-
E.
Sanofi
Sanofi is a major French multinational pharmaceutical company known for developing prescription medicines, vaccines, and consumer healthcare products worldwide.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3aba3d0819093431f38f0095a71 |
completed | April 21, 2026, 12:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090b0f5c088190a2db09ce9ecbfcc3 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090bc252dc8190a96a98b2160826b5 |
completed | May 17, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090cc818b4819089ed588d3e460aa2 |
completed | May 17, 2026, 12:33 a.m. |
Created at: April 16, 2026, 12:44 p.m.