Triple
T14404679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cogan railway station |
E357165
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Cogan
Cogan is a village and suburb of Penarth in the Vale of Glamorgan, Wales, known historically for its railway links and proximity to Cardiff.
|
E1097537
|
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: Cogan | Statement: [Cogan railway station, locatedIn, Cogan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cogan Context triple: [Cogan railway station, locatedIn, Cogan]
-
A.
Vogt-Roberts
Vogt-Roberts is the hyphenated surname of American film director Jordan Vogt-Roberts, known for works like "Kong: Skull Island."
-
B.
Eales
Eales is an English-language surname most notably associated with Australian rugby union legend John Eales.
-
C.
Gotaas-Larsen
Gotaas-Larsen was a Norwegian shipping company and maritime enterprise that played a key role in the early development of modern cruise operations.
-
D.
Behçet
Behçet is a Turkish surname most notably associated with dermatologist Hulusi Behçet, after whom Behçet's disease is named.
-
E.
Vogt
Vogt is a German-language surname borne by various notable figures in science, politics, and the arts.
- 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: Cogan Triple: [Cogan railway station, locatedIn, Cogan]
Generated description
Cogan is a village and suburb of Penarth in the Vale of Glamorgan, Wales, known historically for its railway links and proximity to Cardiff.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cogan Target entity description: Cogan is a village and suburb of Penarth in the Vale of Glamorgan, Wales, known historically for its railway links and proximity to Cardiff.
-
A.
Vogt-Roberts
Vogt-Roberts is the hyphenated surname of American film director Jordan Vogt-Roberts, known for works like "Kong: Skull Island."
-
B.
Eales
Eales is an English-language surname most notably associated with Australian rugby union legend John Eales.
-
C.
Gotaas-Larsen
Gotaas-Larsen was a Norwegian shipping company and maritime enterprise that played a key role in the early development of modern cruise operations.
-
D.
Behçet
Behçet is a Turkish surname most notably associated with dermatologist Hulusi Behçet, after whom Behçet's disease is named.
-
E.
Vogt
Vogt is a German-language surname borne by various notable figures in science, politics, and the arts.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90860ae481908e175decda8624d5 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5523267081908d972b60b6039528 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd5671e4688190ab1b7a7ed6c0cfb8 |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57710f648190a1344ac1363acce1 |
completed | May 8, 2026, 3:24 a.m. |
Created at: April 10, 2026, 1:17 a.m.