Triple
T17502739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meadowhall |
E426230
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | M1 motorway |
—
|
NE NERFINISHED |
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: M1 motorway | Statement: [Meadowhall, near, M1 motorway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M1 motorway Context triple: [Meadowhall, near, M1 motorway]
-
A.
M1 motorway
chosen
The M1 motorway is a major north–south highway in England linking London with key cities in the Midlands and northern England.
-
B.
M1 motorway
The M1 motorway is a major Hungarian highway that connects Budapest with the western regions of the country and continues toward the Austrian border.
-
C.
M1 motorway
The M1 motorway is a major north–south highway in Johannesburg, South Africa, forming part of the city’s primary arterial road network.
-
D.
M1 motorway
The M1 motorway is a major Hungarian highway connecting Budapest with the northwestern city of Győr and the Austrian border, forming part of the main route between Hungary and Western Europe.
-
E.
M1 motorway
The M1 motorway is a major Hungarian highway that connects Budapest with the northwestern border near Austria, forming part of a key international transport corridor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45212ea608190a3f225ba736cd754 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.