Triple
T6172224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whistler, Alabama |
E137728
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Whistler
Whistler is a small unincorporated community located in Mobile County, Alabama, known historically as a railroad town.
|
E575743
|
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: Whistler | Statement: [Whistler, Alabama, hasName, Whistler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whistler Context triple: [Whistler, Alabama, hasName, Whistler]
-
A.
Whistler
Whistler is a renowned resort town in British Columbia, Canada, famous for its world-class skiing, mountain biking, and outdoor recreation.
-
B.
Whistler
Whistler was the internal codename used by Microsoft during the development of the Windows XP operating system.
-
C.
Whitemark
Whitemark is the principal township and administrative centre of Flinders Island in Tasmania, Australia.
-
D.
Revelstoke, British Columbia
Revelstoke, British Columbia is a small mountain city in southeastern Canada known for its world-class skiing, outdoor recreation, and dramatic setting amid the Selkirk and Monashee ranges.
-
E.
Banff
Banff is a historic town in Aberdeenshire, Scotland, known for its coastal setting on the Moray Firth and its well-preserved Georgian architecture.
- 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: Whistler Triple: [Whistler, Alabama, hasName, Whistler]
Generated description
Whistler is a small unincorporated community located in Mobile County, Alabama, known historically as a railroad town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whistler Target entity description: Whistler is a small unincorporated community located in Mobile County, Alabama, known historically as a railroad town.
-
A.
Whistler
Whistler was the internal codename used by Microsoft during the development of the Windows XP operating system.
-
B.
Whistler
Whistler is a renowned resort town in British Columbia, Canada, famous for its world-class skiing, mountain biking, and outdoor recreation.
-
C.
Whitemark
Whitemark is the principal township and administrative centre of Flinders Island in Tasmania, Australia.
-
D.
Revelstoke, British Columbia
Revelstoke, British Columbia is a small mountain city in southeastern Canada known for its world-class skiing, outdoor recreation, and dramatic setting amid the Selkirk and Monashee ranges.
-
E.
Banff
Banff is a historic town in Aberdeenshire, Scotland, known for its coastal setting on the Moray Firth and its well-preserved Georgian architecture.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d9319548190980c99f692bd4115 |
completed | March 22, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ee938748190ad03e19c241b0881 |
completed | March 23, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69c1e26bd8688190a8689f6a0f8c0c74 |
completed | March 24, 2026, 1:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1e352fb648190ae6165b983294a60 |
completed | March 24, 2026, 1:05 a.m. |
Created at: March 22, 2026, 4:18 p.m.