Triple
T4730167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mansfield |
E104984
|
entity |
| Predicate | footballClubStadium |
P890
|
FINISHED |
| Object |
Field Mill
Field Mill is a historic football stadium in Mansfield, England, serving as the long-time home ground of Mansfield Town FC.
|
E465135
|
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: Field Mill | Statement: [Mansfield, footballClubStadium, Field Mill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Field Mill Context triple: [Mansfield, footballClubStadium, Field Mill]
-
A.
Fielden
Fielden is an English surname historically associated with figures involved in labor activism and social reform.
-
B.
Ifield
Ifield is a residential neighbourhood and historic village area within the town of Crawley in West Sussex, England.
-
C.
Ravenshead
Ravenshead is a village in Nottinghamshire, England, known for its proximity to the historic Newstead Abbey, former home of poet Lord Byron.
-
D.
Hilly Fields
Hilly Fields is a public park and green open space in the London Borough of Lewisham, known for its panoramic city views and recreational facilities.
-
E.
Martlesham Heath
Martlesham Heath is a village and residential area in Suffolk, England, known for its planned development and historical links to aviation and telecommunications research.
- 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: Field Mill Triple: [Mansfield, footballClubStadium, Field Mill]
Generated description
Field Mill is a historic football stadium in Mansfield, England, serving as the long-time home ground of Mansfield Town FC.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Field Mill Target entity description: Field Mill is a historic football stadium in Mansfield, England, serving as the long-time home ground of Mansfield Town FC.
-
A.
Fielden
Fielden is an English surname historically associated with figures involved in labor activism and social reform.
-
B.
Ifield
Ifield is a residential neighbourhood and historic village area within the town of Crawley in West Sussex, England.
-
C.
Ravenshead
Ravenshead is a village in Nottinghamshire, England, known for its proximity to the historic Newstead Abbey, former home of poet Lord Byron.
-
D.
Hilly Fields
Hilly Fields is a public park and green open space in the London Borough of Lewisham, known for its panoramic city views and recreational facilities.
-
E.
Martlesham Heath
Martlesham Heath is a village and residential area in Suffolk, England, known for its planned development and historical links to aviation and telecommunications research.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64629bc081908754aa8a2630091f |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10a4bc0481908935278afb13503d |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be13d99f9881908dd19dd40ac87a6d |
completed | March 21, 2026, 3:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be143ea2108190941294255bc4679c |
completed | March 21, 2026, 3:45 a.m. |
Created at: March 20, 2026, 1:19 p.m.