Triple
T32019213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S20 Outer Ring Expressway |
E817631
|
entity |
| Predicate | ringRoadType |
P136665
|
FINISHED |
| Object | outer ring road |
—
|
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: outer ring road | Statement: [S20 Outer Ring Expressway, ringRoadType, outer ring road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ringRoadType Context triple: [S20 Outer Ring Expressway, ringRoadType, outer ring road]
-
A.
roadType
Indicates the classification or category of a road based on its functional or physical characteristics.
-
B.
hasRingRoadType
chosen
Indicates that an entity is associated with a specific type or classification of ring road.
-
C.
hasRingRoadRole
Indicates that an entity has a specific functional role or responsibility in relation to a ring road.
-
D.
primaryRingRoad
Indicates that a road functions as the main circumferential or loop route encircling or bypassing a central area in a transport network.
-
E.
roadTypeAtSquare
Indicates the specific type or classification of road present at a given square or location in a spatial grid or map.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b462d42c8190af298000e2d9bbfe |
completed | May 3, 2026, 2:35 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:16 a.m.