Triple
T144349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surrey |
E2921
|
entity |
| Predicate | hasCountyTown |
P383
|
FINISHED |
| Object |
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.
|
E21568
|
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: Guildford | Statement: [Surrey, hasCountyTown, Guildford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guildford Context triple: [Surrey, hasCountyTown, Guildford]
-
A.
Surrey
Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
-
B.
Bristol
Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
-
C.
Gloucester
Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
-
D.
Gloucester
Gloucester is a historic cathedral city and port in southwest England, known for its medieval architecture and role as the county town of Gloucestershire.
-
E.
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.
- 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: Guildford Triple: [Surrey, hasCountyTown, Guildford]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guildford Target entity description: 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.
-
A.
Surrey
Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
-
B.
Bristol
Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
-
C.
Gloucester
Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
-
D.
Gloucester
Gloucester is a historic cathedral city and port in southwest England, known for its medieval architecture and role as the county town of Gloucestershire.
-
E.
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.
- 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_69a25bab43608190ba5ebfbee6b5b6e4 |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2e7e0c7708190ac66e0a45f6782eb |
completed | Feb. 28, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69a2e8f3e3c08190ae8c3f60eb530268 |
completed | Feb. 28, 2026, 1:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2e9deddf4819090917d418b8daecb |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.