Triple
T38556937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edinburgh Park business district |
E925272
|
entity |
| Predicate | hasTransportConnection |
P845
|
FINISHED |
| Object |
Edinburgh Park tram stop
Edinburgh Park tram stop is a light rail station in Edinburgh, Scotland, serving the Edinburgh Park business district and connecting it to the city’s tram network.
|
E1371305
|
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: Edinburgh Park tram stop | Statement: [Edinburgh Park business district, hasTransportConnection, Edinburgh Park tram stop]
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: Edinburgh Park tram stop Triple: [Edinburgh Park business district, hasTransportConnection, Edinburgh Park tram stop]
Generated description
Edinburgh Park tram stop is a light rail station in Edinburgh, Scotland, serving the Edinburgh Park business district and connecting it to the city’s tram network.
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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd31de39081909e0cee326eb360b3 |
completed | May 7, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41e0418274819088dfdc4c8c0f7190 |
completed | June 29, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_6a41e0f0242c81909f8320932f505aca |
completed | June 29, 2026, 3:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41e14b84e881908f0c039d5101b5e5 |
completed | June 29, 2026, 3:06 a.m. |
Created at: May 3, 2026, 4:32 p.m.