Triple
T144354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surrey |
E2921
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Farnham
Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
|
E22526
|
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: Farnham | Statement: [Surrey, containsSettlement, Farnham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farnham Context triple: [Surrey, containsSettlement, Farnham]
-
A.
Guildford
Guildford is a historic market town in southeast England known for its medieval architecture, university, and role as a commercial and cultural hub in the region.
-
B.
Woking
Woking is a large commuter town in southeast England known for its rail links to London and its association with H.G. Wells’ "The War of the Worlds."
-
C.
Surrey
Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
-
D.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
-
E.
Bristol
Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
- 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: Farnham Triple: [Surrey, containsSettlement, Farnham]
Generated description
Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farnham Target entity description: Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
-
A.
Guildford
Guildford is a historic market town in southeast England known for its medieval architecture, university, and role as a commercial and cultural hub in the region.
-
B.
Woking
Woking is a large commuter town in southeast England known for its rail links to London and its association with H.G. Wells’ "The War of the Worlds."
-
C.
Surrey
Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
-
D.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
-
E.
Bristol
Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257e935bc8190a03e54a10e9ba6f7 |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2f0b399d0819088332903146ddf94 |
completed | Feb. 28, 2026, 1:42 p.m. |
| NEDg | Description generation | batch_69a2f1617d1881908010a173098ad8a8 |
completed | Feb. 28, 2026, 1:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2f1cf22f48190a7cc60661a61db4a |
completed | Feb. 28, 2026, 1:46 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.