Triple
T11399920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESH |
E270080
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
Brighton
Brighton is a vibrant seaside city on England’s south coast, known for its pebble beach, iconic pier, and lively arts and nightlife scene.
|
E45112
|
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: Brighton | Statement: [ESH, serves, Brighton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brighton Context triple: [ESH, serves, Brighton]
-
A.
Brighton
Brighton is a residential neighborhood in the western part of Boston, Massachusetts, known for its mix of students, young professionals, and long-time residents.
-
B.
Brighton
Brighton is a major seaside city on England’s south coast, renowned for its beach, pier, and vibrant cultural and nightlife scenes.
-
C.
Brighton
Brighton is a small city in Colorado that forms part of the Denver metropolitan area along the Front Range of the Rocky Mountains.
-
D.
Brighton
Brighton is a residential neighborhood in Seattle’s Rainier Valley known for its diversity and proximity to parks and schools.
-
E.
Brighton
Brighton is a small municipality in southeastern Ontario, Canada, known for its rural charm, proximity to Lake Ontario, and nearby Presqu’ile Provincial Park.
- 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: Brighton Triple: [ESH, serves, Brighton]
Generated description
Brighton is a vibrant seaside city on England’s south coast, known for its pebble beach, iconic pier, and lively arts and nightlife scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brighton Target entity description: Brighton is a vibrant seaside city on England’s south coast, known for its pebble beach, iconic pier, and lively arts and nightlife scene.
-
A.
Brighton
chosen
Brighton is a major seaside city on England’s south coast, renowned for its beach, pier, and vibrant cultural and nightlife scenes.
-
B.
Brighton
Brighton is a small mountain resort town in Utah known for its ski area, alpine scenery, and outdoor recreation.
-
C.
Brighton
Brighton is a small municipality in southeastern Ontario, Canada, known for its rural charm, proximity to Lake Ontario, and nearby Presqu’ile Provincial Park.
-
D.
Brighton
Brighton is a residential neighborhood in the western part of Boston, Massachusetts, known for its mix of students, young professionals, and long-time residents.
-
E.
Brighton
Brighton is a residential neighborhood in Seattle’s Rainier Valley known for its diversity and proximity to parks and schools.
- F. None of above.
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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001adc188190ae45227856156412 |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8cc338081908da977b5b7c6bef3 |
completed | April 20, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e5f1557e9c8190b53ce391793b2c7f |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f863bf7c81908969ed0a5b99f032 |
completed | April 20, 2026, 9:56 a.m. |
Created at: April 8, 2026, 9:34 p.m.