Triple
T20812447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dysart et al |
E512346
|
entity |
| Predicate | hasAdministrativeCentre |
P1474
|
FINISHED |
| Object |
Haliburton
Haliburton is a small community in Ontario, Canada, known as a local service and tourism hub in the Haliburton Highlands region.
|
E1451395
|
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: Haliburton | Statement: [Dysart et al, hasAdministrativeCentre, Haliburton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haliburton Context triple: [Dysart et al, hasAdministrativeCentre, Haliburton]
-
A.
Haliburton
Haliburton is a surname of English and Scottish origin associated with various notable historical and literary figures.
-
B.
Howden
Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
-
C.
Howden
Howden is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
-
D.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
-
E.
Hawkshaw
Hawkshaw is an English surname associated with several notable figures, including engineers, artists, and fictional detectives.
- 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: Haliburton Triple: [Dysart et al, hasAdministrativeCentre, Haliburton]
Generated description
Haliburton is a small community in Ontario, Canada, known as a local service and tourism hub in the Haliburton Highlands region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haliburton Target entity description: Haliburton is a small community in Ontario, Canada, known as a local service and tourism hub in the Haliburton Highlands region.
-
A.
Haliburton
Haliburton is a surname of English and Scottish origin associated with various notable historical and literary figures.
-
B.
Howden
Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
-
C.
Howden
Howden is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
-
D.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
-
E.
Hawkshaw
Hawkshaw is an English surname associated with several notable figures, including engineers, artists, and fictional detectives.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d415688190b66adc44d4df9bbb |
completed | April 21, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8cdb5d08190a8925efe00fef10e |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f9f7aff481908283ffe92d95646d |
completed | May 16, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08faa15c488190b7a3ed000c093be7 |
completed | May 16, 2026, 11:15 p.m. |
Created at: April 16, 2026, 12:40 p.m.