Triple
T6747882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Loop |
E154263
|
entity |
| Predicate | laneGrouping |
P73277
|
FINISHED |
| Object | set of lanes designated for clockwise travel |
—
|
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: set of lanes designated for clockwise travel | Statement: [Inner Loop, laneGrouping, set of lanes designated for clockwise travel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laneGrouping Context triple: [Inner Loop, laneGrouping, set of lanes designated for clockwise travel]
-
A.
movementGrouping
Indicates that multiple movements or motion events are treated as a single grouped or coordinated unit within a larger action or process.
-
B.
laneCount
Indicates the number of parallel lanes associated with a given road or roadway segment.
-
C.
railwayGrouping
Indicates the organizational or administrative grouping to which a railway or railway-related entity belongs.
-
D.
facilitatesTrafficFlowBetween
Indicates that one entity enables, supports, or improves the movement of traffic between two other entities or locations.
-
E.
railwayGroupingOutcome
Indicates the result or status assigned to a railway entity as a consequence of a grouping, merger, or reorganization process.
- 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.