Triple
T4822663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cupar railway station |
E107744
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
CUP
CUP is the National Rail station code for Cupar railway station in Fife, Scotland.
|
E473007
|
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: CUP | Statement: [Cupar railway station, hasStationCode, CUP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CUP Context triple: [Cupar railway station, hasStationCode, CUP]
-
A.
CUP
The Committee of Union and Progress (CUP) was a dominant early 20th-century Ottoman political organization and ruling party associated with the Young Turk movement and the empire’s final years.
-
B.
CUP
CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
-
C.
CUP
The CUP is the official Cuban peso currency code used in international financial and currency exchange contexts.
-
D.
CUPAR
CUPAR is a historic market town in Fife, Scotland, known for its traditional architecture and role as a local administrative and commercial center.
-
E.
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.
- 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: CUP Triple: [Cupar railway station, hasStationCode, CUP]
Generated description
CUP is the National Rail station code for Cupar railway station in Fife, Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CUP Target entity description: CUP is the National Rail station code for Cupar railway station in Fife, Scotland.
-
A.
CUP
CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
-
B.
CUP
The CUP is the official Cuban peso currency code used in international financial and currency exchange contexts.
-
C.
CUP
The Committee of Union and Progress (CUP) was a dominant early 20th-century Ottoman political organization and ruling party associated with the Young Turk movement and the empire’s final years.
-
D.
CUPAR
CUPAR is a historic market town in Fife, Scotland, known for its traditional architecture and role as a local administrative and commercial center.
-
E.
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.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6caa95ec8190bea525dbf3a00477 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dc6ddcc8190903c0737476bbe36 |
completed | March 21, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69be4fd6581881908ce99ed0e531504d |
completed | March 21, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5037528881909e17870b7d01fa1f |
completed | March 21, 2026, 8 a.m. |
Created at: March 20, 2026, 1:24 p.m.