Triple
T989438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cupar |
E21353
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object |
CUPAR
CUPAR is a historic market town in Fife, Scotland, known for its traditional architecture and role as a local administrative and commercial center.
|
E117621
|
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: CUPAR | Statement: [Cupar, hasPostTown, CUPAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CUPAR Context triple: [Cupar, hasPostTown, CUPAR]
-
A.
CUP
CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
-
B.
The Cup
The Cup is a common nickname for the Stanley Cup, the championship trophy awarded annually to the National Hockey League playoff winner and one of the most iconic prizes in professional sports.
-
C.
Carris
Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
-
D.
Caterham
Caterham is a town in the Tandridge district of Surrey, England, known as a commuter settlement on the edge of the London metropolitan area.
-
E.
Tartan Racing
Tartan Racing is an autonomous vehicle research team formed by Carnegie Mellon University and General Motors that gained prominence by winning the 2007 DARPA Urban Challenge.
- 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: CUPAR Triple: [Cupar, hasPostTown, CUPAR]
Generated description
CUPAR is a historic market town in Fife, Scotland, known for its traditional architecture and role as a local administrative and commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CUPAR Target entity description: CUPAR is a historic market town in Fife, Scotland, known for its traditional architecture and role as a local administrative and commercial center.
-
A.
CUP
CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
-
B.
The Cup
The Cup is a common nickname for the Stanley Cup, the championship trophy awarded annually to the National Hockey League playoff winner and one of the most iconic prizes in professional sports.
-
C.
Carris
Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
-
D.
Caterham
Caterham is a town in the Tandridge district of Surrey, England, known as a commuter settlement on the edge of the London metropolitan area.
-
E.
Tartan Racing
Tartan Racing is an autonomous vehicle research team formed by Carnegie Mellon University and General Motors that gained prominence by winning the 2007 DARPA Urban Challenge.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4aa16f081909dcc7a7ce3fb1b64 |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac258d9f4c8190b285455410b30575 |
completed | March 7, 2026, 1:18 p.m. |
| NEDg | Description generation | batch_69ac267e4fa08190895fa6809d0decb8 |
completed | March 7, 2026, 1:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac271c8ad081909c1f1629e0793c40 |
completed | March 7, 2026, 1:24 p.m. |
Created at: March 1, 2026, 7:41 p.m.