Triple
T34171567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holborn Circus road system |
E876558
|
entity |
| Predicate | convergesRoad |
P182872
|
FINISHED |
| Object | Holborn |
—
|
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: Holborn | Statement: [Holborn Circus road system, convergesRoad, Holborn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convergesRoad Context triple: [Holborn Circus road system, convergesRoad, Holborn]
-
A.
numberOfConvergingStreets
Indicates the count of distinct streets that meet or intersect at a particular junction or location.
-
B.
rangeRoad
Indicates that a road or route extends across or through a specified geographic range or area.
-
C.
hasRoadTerminus
Indicates that one location or road segment serves as an endpoint or terminus for a particular road.
-
D.
roadTerminusOf
Indicates that a road ends at, or has its terminal point at, the referenced location or route.
-
E.
connectsRoadNetwork
Indicates that one entity is linked to another as part of the same road network, enabling continuous vehicular or transport connectivity between them.
- F. None of above. chosen
Provenance (4 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_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f794f24e588190965e39b77534d53f |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: May 1, 2026, 1:54 a.m.