Triple
T37828030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caltrans District 1 roadway network |
E943118
|
entity |
| Predicate | primaryScenicCoastalRoute |
P119883
|
FINISHED |
| Object | State Route 1 (within District 1) |
E2244571
|
NE 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: State Route 1 (within District 1) | Statement: [Caltrans District 1 roadway network, primaryScenicCoastalRoute, State Route 1 (within District 1)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryScenicCoastalRoute Context triple: [Caltrans District 1 roadway network, primaryScenicCoastalRoute, State Route 1 (within District 1)]
-
A.
COASTERRoute
Indicates a route or path specifically designated for a coaster (such as a roller coaster or similar ride) to travel along.
-
B.
isCoastalRoad
chosen
Indicates that a road is located along or adjacent to a coastline, typically running parallel to the sea or ocean.
-
C.
isCoastalTrail
Indicates that a trail is located along or near a coastline, typically following or closely paralleling the shore.
-
D.
hasHighwayAlongShore
Indicates that a highway runs adjacent to or closely follows the shoreline of a body of water.
-
E.
coastType
Indicates the specific kind or classification of a coastline associated with a geographic area.
- F. None of above.
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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4104164c188190a01e59c02124345c |
completed | June 28, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.