Triple
T13533058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stamford New Road |
E323183
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object | Moss Lane |
—
|
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: Moss Lane | Statement: [Stamford New Road, hasNearbyStreet, Moss Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moss Lane Context triple: [Stamford New Road, hasNearbyStreet, Moss Lane]
-
A.
Moss Lane
chosen
Moss Lane is a football stadium in Altrincham, Greater Manchester, serving as the long-standing home venue of Altrincham F.C.
-
B.
Moor Lane
Moor Lane is a football stadium in Salford, Greater Manchester, best known as the long-standing home of Salford City F.C.
-
C.
Woodhouse Lane
Woodhouse Lane is a major road in Leeds, West Yorkshire, serving as a key route between the city centre and the university and Hyde Park areas.
-
D.
Pyms Lane
Pyms Lane is a road in Crewe, England, best known as the location of Bentley’s historic and main automobile manufacturing plant.
-
E.
Moosa Lane
Moosa Lane is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbb34548190a6b44faa48125cd4 |
completed | April 12, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:44 p.m.