Triple
T6747881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Loop |
E154263
|
entity |
| Predicate | roadDirectionConvention |
P73276
|
FINISHED |
| Object | clockwiseEqualsInnerLoop |
—
|
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: clockwiseEqualsInnerLoop | Statement: [Inner Loop, roadDirectionConvention, clockwiseEqualsInnerLoop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDirectionConvention Context triple: [Inner Loop, roadDirectionConvention, clockwiseEqualsInnerLoop]
-
A.
hasStreetDirection
Indicates that a street or road segment is associated with a specific directional orientation (e.g., northbound, east-west).
-
B.
transportDirection
Indicates the directional flow or route along which something is transported from an origin toward a destination.
-
C.
geographicDirectionWithinCountry
Indicates that one place lies in a specified cardinal or intercardinal direction relative to another place within the same country.
-
D.
crossingDirection
Indicates the direction in which one entity moves or passes across another reference point, boundary, or path.
-
E.
roadSystem
Indicates a relationship where multiple roads are organized and connected as part of a larger, integrated transportation network or infrastructure.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09227108190b253b91967831a85 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d3264b7481908816a4d19543fb7b |
completed | March 27, 2026, 6:57 p.m. |
Created at: March 27, 2026, 2:11 p.m.