Triple
T5605134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corn Du |
E147214
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object |
Central Beacons
Central Beacons is a prominent upland area within the Brecon Beacons of South Wales, known for its high peaks, open moorland, and extensive panoramic views.
|
E527866
|
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: Central Beacons | Statement: [Corn Du, hasViewOf, Central Beacons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Beacons Context triple: [Corn Du, hasViewOf, Central Beacons]
-
A.
Beacons
The Beacons are the athletic teams representing the University of Massachusetts Boston in intercollegiate sports.
-
B.
Beacon
Beacon is a small Hudson River city in New York State known for its vibrant arts scene, historic industrial roots, and the contemporary art museum Dia Beacon.
-
C.
South Satellite
South Satellite is an international-focused concourse at Seattle–Tacoma International Airport that primarily serves long-haul and overseas flights.
-
D.
Centre
Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
-
E.
The Beacon
The Beacon is a prominent hill on the Gower Peninsula in Wales, known for its elevated views over the surrounding coastline and countryside.
- 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: Central Beacons Triple: [Corn Du, hasViewOf, Central Beacons]
Generated description
Central Beacons is a prominent upland area within the Brecon Beacons of South Wales, known for its high peaks, open moorland, and extensive panoramic views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Central Beacons Target entity description: Central Beacons is a prominent upland area within the Brecon Beacons of South Wales, known for its high peaks, open moorland, and extensive panoramic views.
-
A.
Beacons
The Beacons are the athletic teams representing the University of Massachusetts Boston in intercollegiate sports.
-
B.
Beacon
Beacon is a small Hudson River city in New York State known for its vibrant arts scene, historic industrial roots, and the contemporary art museum Dia Beacon.
-
C.
South Satellite
South Satellite is an international-focused concourse at Seattle–Tacoma International Airport that primarily serves long-haul and overseas flights.
-
D.
Centre
Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
-
E.
The Beacon
The Beacon is a prominent hill on the Gower Peninsula in Wales, known for its elevated views over the surrounding coastline and countryside.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fa4b0881909fdbb8ea38eeb5e3 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02878aad8819082d2c8f038b79bc7 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c033e0043881908c9fca5138398188 |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c034664c808190b382f7aad0e3149a |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:39 p.m.