Triple
T34743191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M3 motorway (Northern Ireland) |
E1001560
|
entity |
| Predicate | isKeyRiverCrossingFor |
P156377
|
FINISHED |
| Object | Belfast |
—
|
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: Belfast | Statement: [M3 motorway (Northern Ireland), isKeyRiverCrossingFor, Belfast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKeyRiverCrossingFor Context triple: [M3 motorway (Northern Ireland), isKeyRiverCrossingFor, Belfast]
-
A.
wasMainRiverCrossingFor
chosen
Indicates that one river crossing (such as a bridge, ford, or ferry) served as the primary or most significant crossing point for a particular route, area, or settlement.
-
B.
crossedByRiver
Indicates that a river passes across or through a specified area, feature, or route.
-
C.
wasMainRiverCrossingUntil
Indicates that a particular river crossing served as the primary or most important crossing point over a river up to a specified time.
-
D.
waterwayTypeCrossed
Indicates the specific kind of waterway (e.g., river, canal, stream) that is being crossed in the described relationship or action.
-
E.
hasRiverCrossingNearby
Indicates that there is a river crossing located in close proximity to the referenced entity or location.
- 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_69f76db0367081909b57c50a7fb03025 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.