Triple
T15457670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bristol City F.C. |
E371812
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object |
Ashton, Bristol
Ashton is a district in the city of Bristol, England, known for its residential character and proximity to major local sports and leisure facilities.
|
E1157304
|
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: Ashton, Bristol | Statement: [Bristol City F.C., basedIn, Ashton, Bristol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashton, Bristol Context triple: [Bristol City F.C., basedIn, Ashton, Bristol]
-
A.
Ashton
Ashton is a small village in the town of Cumberland in Providence County, Rhode Island, known for its historic mill district along the Blackstone River.
-
B.
Ashton
Ashton is a small coastal town on Union Island in Saint Vincent and the Grenadines, known as one of the island’s main settlements.
-
C.
Ashton
Ashton is a masculine given name of English origin that has become well known through figures such as actor and entrepreneur Ashton Kutcher.
-
D.
Ashton
Ashton is a small city located in Osceola County in the northwestern part of the U.S. state of Iowa.
-
E.
Ashton
Ashton is a small town in South Africa’s Western Cape, known for its fruit farming and position along the scenic Route 62.
- 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: Ashton, Bristol Triple: [Bristol City F.C., basedIn, Ashton, Bristol]
Generated description
Ashton is a district in the city of Bristol, England, known for its residential character and proximity to major local sports and leisure facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ashton, Bristol Target entity description: Ashton is a district in the city of Bristol, England, known for its residential character and proximity to major local sports and leisure facilities.
-
A.
Ashton
Ashton is a small village in the town of Cumberland in Providence County, Rhode Island, known for its historic mill district along the Blackstone River.
-
B.
Ashton
Ashton is a small coastal town on Union Island in Saint Vincent and the Grenadines, known as one of the island’s main settlements.
-
C.
Ashton
Ashton is a small city located in Osceola County in the northwestern part of the U.S. state of Iowa.
-
D.
Ashton
Ashton is a masculine given name of English origin that has become well known through figures such as actor and entrepreneur Ashton Kutcher.
-
E.
Ashton
Ashton is a small town in South Africa’s Western Cape, known for its fruit farming and position along the scenic Route 62.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f1623f0819086f6fc2bfd536609 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b7b600819081a6087bd6309237 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff225ba3bc8190b57da931ffa240fe |
completed | May 9, 2026, 12:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2339ae808190bf2d4676215399c0 |
completed | May 9, 2026, 12:06 p.m. |
Created at: April 10, 2026, 3:31 a.m.