Triple
T36880397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clontarf Road |
E911462
|
entity |
| Predicate | hasCycleLane |
P31631
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Clontarf Road, hasCycleLane, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCycleLane Context triple: [Clontarf Road, hasCycleLane, yes]
-
A.
hasWheelchairLanes
Indicates that a location, route, or facility includes designated lanes or pathways specifically designed for wheelchair use.
-
B.
hasLoopRoad
Indicates that a location or area is connected by a road that forms a closed loop, beginning and ending at the same point.
-
C.
hasDedicatedLanes
chosen
Indicates that specific lanes within a route or roadway are reserved exclusively for a particular type of traffic or use.
-
D.
hasRingRoadElement
Indicates that a larger ring road structure includes or is composed of a specific road segment or element.
-
E.
hasEmergencyLane
Indicates that a road, route, or similar thoroughfare includes a designated emergency lane for use by emergency or breakdown situations.
- 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd69b4b08190970609a0c2c3651a |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.