Triple
T37262919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Route 1 |
E924301
|
entity |
| Predicate | traversesEnvironment |
P49210
|
FINISHED |
| Object | urban areas |
—
|
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: urban areas | Statement: [National Route 1, traversesEnvironment, urban areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traversesEnvironment Context triple: [National Route 1, traversesEnvironment, urban areas]
-
A.
launcherTraverse
Indicates the movement or rotation of a launcher mechanism as it traverses across its operational arc or axis.
-
B.
alsoTraverses
chosen
Indicates that a route, path, or entity passes through or crosses an additional location or segment beyond its primary traversal.
-
C.
navigationEnvironment
Indicates the contextual conditions or surroundings in which navigation or movement from one place to another occurs.
-
D.
formerTraversal
Indicates that one entity previously traversed, passed through, or traveled along another entity, but is no longer doing so.
-
E.
isEnvironmentOf
Indicates that one entity serves as the surrounding conditions, context, or setting in which another entity exists, operates, or occurs.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:15 p.m.