Triple
T9492700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Market Harborough |
E228927
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object |
Lubenham
Lubenham is a small rural village in Leicestershire, England, situated just west of the market town of Market Harborough.
|
E801933
|
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: Lubenham | Statement: [Market Harborough, hasNeighbouringSettlement, Lubenham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lubenham Context triple: [Market Harborough, hasNeighbouringSettlement, Lubenham]
-
A.
The Hayes
The Hayes is a prominent pedestrianised shopping street and public thoroughfare in the centre of Cardiff, Wales.
-
B.
Emmerson
Emmerson is a masculine given name most prominently associated with Zimbabwean politician Emmerson Mnangagwa, the country's president.
-
C.
Peter Tavy
Peter Tavy is a small rural village and civil parish on the western edge of Dartmoor in Devon, England.
-
D.
Graham
Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
-
E.
Graham
Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
- 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: Lubenham Triple: [Market Harborough, hasNeighbouringSettlement, Lubenham]
Generated description
Lubenham is a small rural village in Leicestershire, England, situated just west of the market town of Market Harborough.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lubenham Target entity description: Lubenham is a small rural village in Leicestershire, England, situated just west of the market town of Market Harborough.
-
A.
The Hayes
The Hayes is a prominent pedestrianised shopping street and public thoroughfare in the centre of Cardiff, Wales.
-
B.
Emmerson
Emmerson is a masculine given name most prominently associated with Zimbabwean politician Emmerson Mnangagwa, the country's president.
-
C.
Peter Tavy
Peter Tavy is a small rural village and civil parish on the western edge of Dartmoor in Devon, England.
-
D.
Graham
Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
-
E.
Graham
Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80ca26bc819084add20027aea4a5 |
completed | April 1, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d27c0808190baf5ae04a1b915bb |
completed | April 4, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69d12da44d7c8190afb11ae3009a79e5 |
completed | April 4, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12e1459348190aed583b2364a53dd |
completed | April 4, 2026, 3:28 p.m. |
Created at: March 30, 2026, 7:56 p.m.