Triple
T468443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edinburgh Waverley |
E8500
|
entity |
| Predicate | hasServiceTo |
P6787
|
FINISHED |
| Object | Leeds |
E22344
|
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: Leeds | Statement: [Edinburgh Waverley, hasServiceTo, Leeds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leeds Context triple: [Edinburgh Waverley, hasServiceTo, Leeds]
-
A.
Leeds
chosen
Leeds is a major city in West Yorkshire, England, known as a key commercial, cultural, and educational center in the north of the country.
-
B.
Sheffield
Sheffield is a major industrial city in South Yorkshire, England, historically renowned for its steel production and role in the Industrial Revolution.
-
C.
Leeds city region
The Leeds city region is a major economic hub in West Yorkshire, England, encompassing Leeds and its surrounding towns and cities with strong links to finance, services, and manufacturing.
-
D.
Bradford
Bradford is a major city in West Yorkshire, Northern England, known for its industrial heritage, diverse population, and role in the wool and textile industries.
-
E.
Huddersfield
Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd9bea081909ee782840f3da12b |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a52383450081908b945646a3e231c2 |
completed | March 2, 2026, 5:43 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.