Triple
T17402368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermont Route 9 |
E423121
|
entity |
| Predicate | adjacentRouteWest |
P127341
|
FINISHED |
| Object | New York State Route 7 |
—
|
NE NERFINISHED |
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: New York State Route 7 | Statement: [Vermont Route 9, adjacentRouteWest, New York State Route 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentRouteWest Context triple: [Vermont Route 9, adjacentRouteWest, New York State Route 7]
-
A.
adjacentStationWest
Indicates that one station is immediately to the west of another station in a spatial or network layout.
-
B.
adjacentStateRoute
Indicates that one state route is directly next to or shares a boundary or junction with another state route.
-
C.
adjacentStationNorth
Indicates that one station is directly adjacent to another station to its north.
-
D.
hasAdjacentStationDirectionNorthwest
Indicates that one station is directly adjacent to another in the northwest direction.
-
E.
adjacentStationSouth
Indicates that one station is directly to the south of another station, with no other station in between.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b046ad88190a95bbeda4e602514 |
completed | April 19, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:45 a.m.