Triple
T9248958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watford North railway station |
E222269
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Callowland
Callowland was the original name of what is now Watford North railway station in Hertfordshire, England.
|
E786545
|
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: Callowland | Statement: [Watford North railway station, formerName, Callowland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Callowland Context triple: [Watford North railway station, formerName, Callowland]
-
A.
Oughterside
Oughterside is a small village in Cumbria, England, situated within the borough of Allerdale.
-
B.
Laggan
Laggan is a small rural village in the Southern Tablelands region of New South Wales, Australia, known for its historic buildings and pastoral surroundings.
-
C.
Laggan
Laggan is a small Scottish Highland village situated along the Great Glen, known for its scenic landscapes and outdoor recreation opportunities.
-
D.
Moormerland
Moormerland is a municipality in the district of Leer in Lower Saxony, northwestern Germany, known for its rural character and location in the East Frisia region.
-
E.
Ardlethan
Ardlethan is a small rural town in the Riverina region of New South Wales, Australia, known historically for tin mining and as a Merino sheep and grain farming community.
- 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: Callowland Triple: [Watford North railway station, formerName, Callowland]
Generated description
Callowland was the original name of what is now Watford North railway station in Hertfordshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Callowland Target entity description: Callowland was the original name of what is now Watford North railway station in Hertfordshire, England.
-
A.
Oughterside
Oughterside is a small village in Cumbria, England, situated within the borough of Allerdale.
-
B.
Laggan
Laggan is a small rural village in the Southern Tablelands region of New South Wales, Australia, known for its historic buildings and pastoral surroundings.
-
C.
Laggan
Laggan is a small Scottish Highland village situated along the Great Glen, known for its scenic landscapes and outdoor recreation opportunities.
-
D.
Moormerland
Moormerland is a municipality in the district of Leer in Lower Saxony, northwestern Germany, known for its rural character and location in the East Frisia region.
-
E.
Ardlethan
Ardlethan is a small rural town in the Riverina region of New South Wales, Australia, known historically for tin mining and as a Merino sheep and grain farming community.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f6d62c8190a1e33f1854767b47 |
completed | April 1, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077fed7888190a5d36bc2ee4c2bd2 |
completed | April 4, 2026, 2:31 a.m. |
| NEDg | Description generation | batch_69d0787b68ac819094acdec0ad7462ac |
completed | April 4, 2026, 2:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07900c7588190869c26dc76fe97e7 |
completed | April 4, 2026, 2:35 a.m. |
Created at: March 30, 2026, 7:31 p.m.