Triple
T18998363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church Stretton railway station |
E464878
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Hereford
Hereford is a historic cathedral city in Herefordshire, England, known for its medieval architecture and agricultural heritage.
|
E65056
|
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: Hereford | Statement: [Church Stretton railway station, near, Hereford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hereford Context triple: [Church Stretton railway station, near, Hereford]
-
A.
Hereford
Hereford is a small city in the Texas Panhandle known for its strong agricultural and cattle industry.
-
B.
Hereford
Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
-
C.
Wellington, Shropshire
Wellington, Shropshire is a historic market town in Shropshire, England, now part of the new town of Telford.
-
D.
Swindon
Swindon is a large town in Wiltshire, England, known as a major commercial and commuter hub in the southwest with strong railway and industrial heritage.
-
E.
Frampton-on-Severn
Frampton-on-Severn is a picturesque village in Gloucestershire, England, known for its large village green and historic Cotswold stone buildings.
- 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: Hereford Triple: [Church Stretton railway station, near, Hereford]
Generated description
Hereford is a historic cathedral city in Herefordshire, England, known for its medieval architecture and agricultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hereford Target entity description: Hereford is a historic cathedral city in Herefordshire, England, known for its medieval architecture and agricultural heritage.
-
A.
Hereford
chosen
Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
-
B.
Hereford
Hereford is a small city in the Texas Panhandle known for its strong agricultural and cattle industry.
-
C.
Wellington, Shropshire
Wellington, Shropshire is a historic market town in Shropshire, England, now part of the new town of Telford.
-
D.
Swindon
Swindon is a large town in Wiltshire, England, known as a major commercial and commuter hub in the southwest with strong railway and industrial heritage.
-
E.
Frampton-on-Severn
Frampton-on-Severn is a picturesque village in Gloucestershire, England, known for its large village green and historic Cotswold stone buildings.
- F. None of above.
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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6838f4481909b265e29964b0dca |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b459c36c8190a9d8831fdb7f8b93 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b6491f608190a72d40867f4a2ca3 |
completed | May 14, 2026, 11:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b6cd93c88190a5400e86a14771f1 |
completed | May 14, 2026, 11:49 a.m. |
Created at: April 10, 2026, 12:01 p.m.