Triple
T4701227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bentley, Hampshire |
E104275
|
entity |
| Predicate | postcodeDistrict |
P222
|
FINISHED |
| Object |
GU10
GU10 is a UK postcode district in the Guildford postcode area covering parts of Bentley in Hampshire and surrounding localities.
|
E460150
|
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: GU10 | Statement: [Bentley, Hampshire, postcodeDistrict, GU10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GU10 Context triple: [Bentley, Hampshire, postcodeDistrict, GU10]
-
A.
Lampa
Lampa is a commune and town in central Chile known for its semi-rural character and growing residential and industrial development near Santiago.
-
B.
Flos
Flos is an Italian lighting company renowned for its innovative, design-led lamps and fixtures created in collaboration with prominent designers.
-
C.
Lampada Ferens
Lampada Ferens is the Latin motto of the University of Hull, traditionally translated as "carrying the light" or "bearing the lamp."
-
D.
Miss K lamp
The Miss K lamp is a contemporary designer table lamp known for its translucent shade and soft, diffused light, created by renowned French designer Philippe Starck.
-
E.
Winston Lights
Winston Lights is a lighter-tar, lower-nicotine variant of the Winston brand of cigarettes marketed as a milder smoking option.
- 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: GU10 Triple: [Bentley, Hampshire, postcodeDistrict, GU10]
Generated description
GU10 is a UK postcode district in the Guildford postcode area covering parts of Bentley in Hampshire and surrounding localities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GU10 Target entity description: GU10 is a UK postcode district in the Guildford postcode area covering parts of Bentley in Hampshire and surrounding localities.
-
A.
Lampa
Lampa is a commune and town in central Chile known for its semi-rural character and growing residential and industrial development near Santiago.
-
B.
Flos
Flos is an Italian lighting company renowned for its innovative, design-led lamps and fixtures created in collaboration with prominent designers.
-
C.
Lampada Ferens
Lampada Ferens is the Latin motto of the University of Hull, traditionally translated as "carrying the light" or "bearing the lamp."
-
D.
Miss K lamp
The Miss K lamp is a contemporary designer table lamp known for its translucent shade and soft, diffused light, created by renowned French designer Philippe Starck.
-
E.
Winston Lights
Winston Lights is a lighter-tar, lower-nicotine variant of the Winston brand of cigarettes marketed as a milder smoking option.
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63cd447081908120ee1691009982 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03ca24848190aa7df32472647cae |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be04513ec081909d38f33de795402b |
completed | March 21, 2026, 2:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be051027c88190a4f24ed5cb17b605 |
completed | March 21, 2026, 2:40 a.m. |
Created at: March 20, 2026, 1:17 p.m.