Triple
T8324631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braughing |
E194918
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Hay Street
Hay Street is a small hamlet in the civil parish of Braughing in Hertfordshire, England.
|
E725959
|
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: Hay Street | Statement: [Braughing, hasSettlement, Hay Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hay Street Context triple: [Braughing, hasSettlement, Hay Street]
-
A.
Hosier Lane
Hosier Lane is a famous laneway in Melbourne renowned for its ever-changing street art and graffiti-covered walls, making it a major attraction for urban art enthusiasts.
-
B.
Brannan Street
Brannan Street is a major thoroughfare in San Francisco’s South of Market (SoMa) district, lined with tech offices, warehouses, and transit connections.
-
C.
Waterloo Road
Waterloo Road is a major thoroughfare in central London running near Waterloo station and connecting key cultural and commercial areas on the South Bank.
-
D.
Waterloo Road
Waterloo Road is a British television drama series set in a troubled comprehensive school, focusing on the lives of its teachers and students.
-
E.
May Street
May Street is a central thoroughfare in Belfast, Northern Ireland, known for its proximity to Donegall Square and its mix of civic, commercial, and historic buildings.
- 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: Hay Street Triple: [Braughing, hasSettlement, Hay Street]
Generated description
Hay Street is a small hamlet in the civil parish of Braughing in Hertfordshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hay Street Target entity description: Hay Street is a small hamlet in the civil parish of Braughing in Hertfordshire, England.
-
A.
Hosier Lane
Hosier Lane is a famous laneway in Melbourne renowned for its ever-changing street art and graffiti-covered walls, making it a major attraction for urban art enthusiasts.
-
B.
Brannan Street
Brannan Street is a major thoroughfare in San Francisco’s South of Market (SoMa) district, lined with tech offices, warehouses, and transit connections.
-
C.
Waterloo Road
Waterloo Road is a major thoroughfare in central London running near Waterloo station and connecting key cultural and commercial areas on the South Bank.
-
D.
Waterloo Road
Waterloo Road is a British television drama series set in a troubled comprehensive school, focusing on the lives of its teachers and students.
-
E.
May Street
May Street is a central thoroughfare in Belfast, Northern Ireland, known for its proximity to Donegall Square and its mix of civic, commercial, and historic buildings.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f7e4f8081908e0f876ad962c932 |
completed | March 31, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95b22afc81909c867d83a1744139 |
completed | April 1, 2026, 10:01 p.m. |
| NEDg | Description generation | batch_69cdab5f30b0819080136084d81774a9 |
completed | April 1, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb2d365e48190a766ca959ce56b19 |
completed | April 2, 2026, 12:05 a.m. |
Created at: March 30, 2026, 5:56 p.m.