Triple
T10857421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simister Island interchange |
E256303
|
entity |
| Predicate | hasDirectionConnection |
P82340
|
FINISHED |
| Object | M60 clockwise carriageway |
—
|
LITERAL 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: M60 clockwise carriageway | Statement: [Simister Island interchange, hasDirectionConnection, M60 clockwise carriageway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectionConnection Context triple: [Simister Island interchange, hasDirectionConnection, M60 clockwise carriageway]
-
A.
hasDirectionType
Indicates that something possesses or is associated with a specific type or category of direction.
-
B.
hasDirectionReference
Indicates that one entity specifies or points to a directional orientation or reference frame for another entity.
-
C.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
D.
hasDirectionFrom
Indicates that one entity has a specific orientation or directional relationship when referenced from another entity.
-
E.
connectionDirection
chosen
Indicates the directional flow or orientation of a connection from one entity to another.
- F. None of above.
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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751377da88190a7244bb9d6b0c2ec |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.