Triple
T9227909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Route 4 (California) |
E221734
|
entity |
| Predicate | freewaySection |
P80869
|
FINISHED |
| Object | Hercules to Antioch |
—
|
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: Hercules to Antioch | Statement: [State Route 4 (California), freewaySection, Hercules to Antioch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: freewaySection Context triple: [State Route 4 (California), freewaySection, Hercules to Antioch]
-
A.
highwaySectionName
Indicates the specific name assigned to a particular section or segment of a highway.
-
B.
hasFreewaySegments
chosen
Indicates that one entity includes, contains, or is associated with specific freeway segments as part of its structure or network.
-
C.
isFreeway
Indicates that a given road segment functions as a freeway, typically designed for high-speed, limited-access vehicular traffic.
-
D.
streetSectionOf
Indicates that one street segment or portion belongs to, is contained within, or forms part of a larger street or roadway.
-
E.
laneStructure
Indicates the structural organization and configuration of lanes within a roadway or traffic facility.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccdaa0a7608190b10d913e5e3d1b3e |
completed | April 1, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:28 p.m.