Triple
T2515809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M4 motorway |
E55408
|
entity |
| Predicate | hasServiceArea |
P82
|
FINISHED |
| Object | Magor services |
E155375
|
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: Magor services | Statement: [M4 motorway, hasServiceArea, Magor services]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magor services Context triple: [M4 motorway, hasServiceArea, Magor services]
-
A.
MagE
MagE is a medium-resolution optical echellette spectrograph used on the Magellan telescopes for detailed spectroscopic studies of astronomical objects.
-
B.
Magor
chosen
Magor is a large village and community in Monmouthshire, southeast Wales, known for its historic church and proximity to the Severn Estuary and major transport links.
-
C.
MGA
MGA is a public university in Georgia, United States, offering a range of undergraduate and graduate programs across multiple campuses.
-
D.
MGA
MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
-
E.
Cinderella Service
Cinderella Service was the informal nickname for RAF Coastal Command, reflecting its often-overlooked yet vital role in maritime patrol and anti-submarine warfare during World War II.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20db7e0819096d901eb20ae65e5 |
completed | March 7, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b9aa5cc81908c2e09ce18f2e98e |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:46 p.m.