Triple
T22135769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mere |
E547023
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
High Legh
High Legh is a rural village and civil parish in Cheshire, England, known for its countryside setting and proximity to several local meres and estates.
|
E1522274
|
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: High Legh | Statement: [Mere, adjacentTo, High Legh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Legh Context triple: [Mere, adjacentTo, High Legh]
-
A.
Leighton Gardens
Leighton Gardens is a public park and landscaped garden in Moss Vale, New South Wales, known for its seasonal flower displays and community events.
-
B.
Peartree Green
Peartree Green is a historic open space and local nature area in the Woolston district of Southampton, known for its greenery and community recreation.
-
C.
Benhall Green
Benhall Green is a small rural village located within the county of Suffolk in eastern England.
-
D.
Hodge Hill
Hodge Hill is a residential area and electoral ward in the east of Birmingham, England, known for its suburban housing and local shopping parades.
-
E.
Hurst Green
Hurst Green is a village and residential area in Surrey, England, situated within the Tandridge District and typically regarded as part of the Oxted area.
- 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: High Legh Triple: [Mere, adjacentTo, High Legh]
Generated description
High Legh is a rural village and civil parish in Cheshire, England, known for its countryside setting and proximity to several local meres and estates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: High Legh Target entity description: High Legh is a rural village and civil parish in Cheshire, England, known for its countryside setting and proximity to several local meres and estates.
-
A.
Leighton Gardens
Leighton Gardens is a public park and landscaped garden in Moss Vale, New South Wales, known for its seasonal flower displays and community events.
-
B.
Peartree Green
Peartree Green is a historic open space and local nature area in the Woolston district of Southampton, known for its greenery and community recreation.
-
C.
Benhall Green
Benhall Green is a small rural village located within the county of Suffolk in eastern England.
-
D.
Hodge Hill
Hodge Hill is a residential area and electoral ward in the east of Birmingham, England, known for its suburban housing and local shopping parades.
-
E.
Hurst Green
Hurst Green is a village and residential area in Surrey, England, situated within the Tandridge District and typically regarded as part of the Oxted area.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129b9ee54819081141c4f28e1211a |
completed | April 28, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a96f52670819083932921a9148da8 |
completed | May 18, 2026, 4:35 a.m. |
| NEDg | Description generation | batch_6a0a9adfadc08190a1899173c557c054 |
completed | May 18, 2026, 4:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a9b6566908190bd92f9b13f47f665 |
completed | May 18, 2026, 4:53 a.m. |
Created at: April 16, 2026, 8:32 p.m.