Triple
T23025351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Axminster |
E573293
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object |
AXMINSTER
AXMINSTER is a market town in Devon, England, historically renowned for its production of high-quality Axminster carpets.
|
E1566141
|
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: AXMINSTER | Statement: [Axminster, hasPostTown, AXMINSTER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AXMINSTER Context triple: [Axminster, hasPostTown, AXMINSTER]
-
A.
Beaminster
Beaminster is a small historic market town in Dorset, England, known for its picturesque countryside setting and traditional architecture.
-
B.
Minster
Minster is a coastal town and civil parish on the Isle of Sheppey in Kent, England, known for its historic abbey and seaside character.
-
C.
Minster
Minster is a small village in western Ohio known for its strong German heritage and annual Oktoberfest celebration.
-
D.
Minster
Minster is a village and civil parish in the Thanet district of Kent, England, known for its historic abbey and traditional rural character.
-
E.
Whitminster
Whitminster is a village and civil parish in Gloucestershire, England, situated near the River Severn and close to the town of Stonehouse.
- 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: AXMINSTER Triple: [Axminster, hasPostTown, AXMINSTER]
Generated description
AXMINSTER is a market town in Devon, England, historically renowned for its production of high-quality Axminster carpets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AXMINSTER Target entity description: AXMINSTER is a market town in Devon, England, historically renowned for its production of high-quality Axminster carpets.
-
A.
Beaminster
Beaminster is a small historic market town in Dorset, England, known for its picturesque countryside setting and traditional architecture.
-
B.
Minster
Minster is a coastal town and civil parish on the Isle of Sheppey in Kent, England, known for its historic abbey and seaside character.
-
C.
Minster
Minster is a village and civil parish in the Thanet district of Kent, England, known for its historic abbey and traditional rural character.
-
D.
Minster
Minster is a small village in western Ohio known for its strong German heritage and annual Oktoberfest celebration.
-
E.
Whitminster
Whitminster is a village and civil parish in Gloucestershire, England, situated near the River Severn and close to the town of Stonehouse.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847c671c8190a8095051d8c3cf93 |
completed | April 29, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf2b1cfc081909681be870918ef5b |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bf376736481908d6cbe5feb46044b |
completed | May 19, 2026, 5:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bf404aeb48190962e0e0fcd82c9eb |
completed | May 19, 2026, 5:24 a.m. |
Created at: April 17, 2026, 3:52 p.m.