Triple
T9746222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warlingham |
E236314
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Warlingham Green
Warlingham Green is a central village green and focal public space in Warlingham, Surrey, surrounded by local shops, pubs, and community amenities.
|
E819590
|
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: Warlingham Green | Statement: [Warlingham, hasLandmark, Warlingham Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warlingham Green Context triple: [Warlingham, hasLandmark, Warlingham Green]
-
A.
Langley Green
Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
-
B.
Southwick Green
Southwick Green is a central public green and recreational open space in the village of Southwick, West Sussex, England.
-
C.
Palmers Green
Palmers Green is a suburban area in the London Borough of Enfield, known for its residential character and significant Greek and Cypriot community.
-
D.
Talbot Green
Talbot Green is a retail and commercial village in Rhondda Cynon Taf, South Wales, known for its shopping centre and role as a local economic hub.
-
E.
Englefield Green
Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
- 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: Warlingham Green Triple: [Warlingham, hasLandmark, Warlingham Green]
Generated description
Warlingham Green is a central village green and focal public space in Warlingham, Surrey, surrounded by local shops, pubs, and community amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warlingham Green Target entity description: Warlingham Green is a central village green and focal public space in Warlingham, Surrey, surrounded by local shops, pubs, and community amenities.
-
A.
Langley Green
Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
-
B.
Southwick Green
Southwick Green is a central public green and recreational open space in the village of Southwick, West Sussex, England.
-
C.
Palmers Green
Palmers Green is a suburban area in the London Borough of Enfield, known for its residential character and significant Greek and Cypriot community.
-
D.
Talbot Green
Talbot Green is a retail and commercial village in Rhondda Cynon Taf, South Wales, known for its shopping centre and role as a local economic hub.
-
E.
Englefield Green
Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f65ad788190b68d731b6f516d93 |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcd2e08c8190808b58fdabe0c9d3 |
completed | April 5, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_69d1bd5820408190a4f5f7ef8b0e14aa |
completed | April 5, 2026, 1:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bdc0135881909b69814e6cf3741b |
completed | April 5, 2026, 1:41 a.m. |
Created at: March 30, 2026, 8:23 p.m.