Triple
T20523114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridlington |
E503861
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Burlington
Burlington is the former name of Bridlington, a coastal town and popular seaside resort in the East Riding of Yorkshire, England.
|
E1435239
|
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: Burlington | Statement: [Bridlington, formerName, Burlington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burlington Context triple: [Bridlington, formerName, Burlington]
-
A.
Burlington
Burlington is a mid-sized city in southern Ontario, Canada, located on the shores of Lake Ontario between Toronto and Hamilton.
-
B.
Burlington
Burlington is a historic city in present-day New Jersey that once served as the colonial capital of the Province of New Jersey.
-
C.
Burlington
Burlington is a city in North Carolina known historically as a railroad and textile manufacturing hub in the Piedmont region of the state.
-
D.
Burlington
Burlington is a small city in northwestern Washington State known as a commercial hub for the surrounding Skagit Valley region.
-
E.
Burlington
Burlington is a small town located in Otsego County in central New York State, known for its rural character and scenic countryside.
- 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: Burlington Triple: [Bridlington, formerName, Burlington]
Generated description
Burlington is the former name of Bridlington, a coastal town and popular seaside resort in the East Riding of Yorkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burlington Target entity description: Burlington is the former name of Bridlington, a coastal town and popular seaside resort in the East Riding of Yorkshire, England.
-
A.
Burlington
Burlington is a city in North Carolina known historically as a railroad and textile manufacturing hub in the Piedmont region of the state.
-
B.
Burlington
Burlington is a historic city in present-day New Jersey that once served as the colonial capital of the Province of New Jersey.
-
C.
Burlington
Burlington is a mid-sized city in southern Ontario, Canada, located on the shores of Lake Ontario between Toronto and Hamilton.
-
D.
Burlington
Burlington is a small city in eastern Colorado that serves as a regional hub for agriculture, transportation, and services near the Kansas border.
-
E.
Burlington
Burlington is a small, primarily residential town in central Connecticut known for its rural character and access to outdoor recreation areas.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f471f18819091e8a57161fe0225 |
completed | April 20, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a089d419ba081909f80b105bb9d9612 |
completed | May 16, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a089dd1abd08190a662efd4a23eacba |
completed | May 16, 2026, 4:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089e76035c8190b1b48d102f710fdd |
completed | May 16, 2026, 4:42 p.m. |
Created at: April 16, 2026, 11:36 a.m.