Triple
T4562974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winslow Junction–Atlantic City route |
E121838
|
entity |
| Predicate | junctionTypeAtWinslow |
P57697
|
FINISHED |
| Object | rail junction |
—
|
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: rail junction | Statement: [Winslow Junction–Atlantic City route, junctionTypeAtWinslow, rail junction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: junctionTypeAtWinslow Context triple: [Winslow Junction–Atlantic City route, junctionTypeAtWinslow, rail junction]
-
A.
junctionNumber
Indicates the identifying number assigned to a specific junction or intersection within a network or system.
-
B.
ridgeConnection
Indicates a structural relationship where one ridge is connected or linked to another ridge, forming a continuous or associated ridge feature.
-
C.
hasJunctionWith
Indicates that one entity meets or intersects with another at a shared junction point.
-
D.
terminusJunction
Indicates a relationship where a route, line, or path ends at a junction point that serves as its terminal connection.
-
E.
locatedAtIntersectionOf
Indicates that something is situated at the point where two or more paths, roads, or boundaries cross or meet.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd5830b4308190a63699bf28922375 |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:09 p.m.