Triple
T14946239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ledbury |
E372669
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object |
LEDBURY
LEDBURY is a historic market town in Herefordshire, England, known for its timber-framed buildings and picturesque rural setting.
|
E1128150
|
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: LEDBURY | Statement: [Ledbury, hasPostTown, LEDBURY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LEDBURY Context triple: [Ledbury, hasPostTown, LEDBURY]
-
A.
Henbury
Henbury is a small settlement within the civil parish of Sturminster Marshall in Dorset, England.
-
B.
Hebden Bridge
Hebden Bridge is a small, picturesque market town in West Yorkshire, England, known for its artistic community, independent shops, and scenic setting in the Calder Valley.
-
C.
Denby Dale
Denby Dale is a village and civil parish in West Yorkshire, England, known historically for its giant community-baked pies and rural setting in the Dearne Valley.
-
D.
Appleby
Appleby is a surname of English origin borne by various notable individuals, including American actress Shiri Appleby.
-
E.
Engleby
Engleby is a psychological novel by Sebastian Faulks that follows the unsettling, introspective narrative of a socially isolated Cambridge student who may be involved in a mysterious disappearance.
- 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: LEDBURY Triple: [Ledbury, hasPostTown, LEDBURY]
Generated description
LEDBURY is a historic market town in Herefordshire, England, known for its timber-framed buildings and picturesque rural setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LEDBURY Target entity description: LEDBURY is a historic market town in Herefordshire, England, known for its timber-framed buildings and picturesque rural setting.
-
A.
Henbury
Henbury is a small settlement within the civil parish of Sturminster Marshall in Dorset, England.
-
B.
Hebden Bridge
Hebden Bridge is a small, picturesque market town in West Yorkshire, England, known for its artistic community, independent shops, and scenic setting in the Calder Valley.
-
C.
Denby Dale
Denby Dale is a village and civil parish in West Yorkshire, England, known historically for its giant community-baked pies and rural setting in the Dearne Valley.
-
D.
Appleby
Appleby is a surname of English origin borne by various notable individuals, including American actress Shiri Appleby.
-
E.
Engleby
Engleby is a psychological novel by Sebastian Faulks that follows the unsettling, introspective narrative of a socially isolated Cambridge student who may be involved in a mysterious disappearance.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e963c548190b3a06ffbbb3298b2 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe807eaa208190a478f0d0599ef695 |
completed | May 9, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe811c14448190b85d94244adcd662 |
completed | May 9, 2026, 12:34 a.m. |
Created at: April 10, 2026, 2:39 a.m.