Triple
T6385849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilometer Zero plaque |
E143698
|
entity |
| Predicate | numberOfRadialRoadsMeasured |
P65698
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Kilometer Zero plaque, numberOfRadialRoadsMeasured, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRadialRoadsMeasured Context triple: [Kilometer Zero plaque, numberOfRadialRoadsMeasured, 6]
-
A.
numberOfRoadways
Indicates the count of distinct roadways associated with or present at a given entity or location.
-
B.
numberOfConvergingStreets
chosen
Indicates the count of distinct streets that meet or intersect at a particular junction or location.
-
C.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
-
D.
roadSystemLength
Indicates the total length or extent of a road network associated with an entity.
-
E.
laneCount
Indicates the number of parallel lanes associated with a given road or roadway segment.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068688bfc8190a28918d58d0cfd2e |
completed | March 22, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69c060eff524819094cee1c70a0c1ff4 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:34 p.m.