Triple
T34155858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Matilda railway station |
E876134
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Glasgow–Gourock railway route
The Glasgow–Gourock railway route is a suburban and inter-urban rail line in western Scotland linking Glasgow with the coastal town of Gourock along the south bank of the River Clyde.
|
E2083603
|
NE FINISHED |
How this triple was built (2 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: Glasgow–Gourock railway route | Statement: [Fort Matilda railway station, locatedOn, Glasgow–Gourock railway route]
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: Glasgow–Gourock railway route Triple: [Fort Matilda railway station, locatedOn, Glasgow–Gourock railway route]
Generated description
The Glasgow–Gourock railway route is a suburban and inter-urban rail line in western Scotland linking Glasgow with the coastal town of Gourock along the south bank of the River Clyde.
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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb6ba808190af28fe23e8bc52bf |
completed | May 3, 2026, 9:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36c1cf3dc88190bfa04824db491d85 |
completed | June 20, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a36c328ba788190ac5f7e0d59cedcff |
completed | June 20, 2026, 4:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36c3da25608190b47fdf74705560bc |
completed | June 20, 2026, 4:46 p.m. |
Created at: May 1, 2026, 1:54 a.m.