Triple
T7402400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Isle |
E170779
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Tore
Tore is a small village in the Black Isle region of the Scottish Highlands, known primarily as a local crossroads and rural community.
|
E661797
|
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: Tore | Statement: [Black Isle, containsSettlement, Tore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tore Context triple: [Black Isle, containsSettlement, Tore]
-
A.
Tore
Tore is a Scandinavian masculine given name commonly used in Norway and other Nordic countries.
-
B.
Torez
Torez is a town in eastern Ukraine’s Donetsk region, internationally known as the nearby area where Malaysia Airlines Flight 17 was shot down in 2014.
-
C.
Torell
Torell is a given name and surname of Scandinavian origin, often considered a variant or diminutive of the name Tore.
-
D.
Tora
Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
-
E.
Tora
Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
- 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: Tore Triple: [Black Isle, containsSettlement, Tore]
Generated description
Tore is a small village in the Black Isle region of the Scottish Highlands, known primarily as a local crossroads and rural community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tore Target entity description: Tore is a small village in the Black Isle region of the Scottish Highlands, known primarily as a local crossroads and rural community.
-
A.
Tore
Tore is a Scandinavian masculine given name commonly used in Norway and other Nordic countries.
-
B.
Torez
Torez is a town in eastern Ukraine’s Donetsk region, internationally known as the nearby area where Malaysia Airlines Flight 17 was shot down in 2014.
-
C.
Torell
Torell is a given name and surname of Scandinavian origin, often considered a variant or diminutive of the name Tore.
-
D.
Tora
Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
-
E.
Tora
Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26ea27c8190a55e0e0314b463d8 |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81110d7648190a8938db7061be454 |
completed | March 28, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c812b0b534819095dd2ae63ca7b2d0 |
completed | March 28, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8147b3f3c8190ada85c9e37bf5e2b |
completed | March 28, 2026, 5:48 p.m. |
Created at: March 27, 2026, 3:10 p.m.