Triple
T688378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 40th Street Portal |
E13334
|
entity |
| Predicate | isJunctionOf |
P14465
|
FINISHED |
| Object | underground trolley tunnel and surface trolley routes |
—
|
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: underground trolley tunnel and surface trolley routes | Statement: [40th Street Portal, isJunctionOf, underground trolley tunnel and surface trolley routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isJunctionOf Context triple: [40th Street Portal, isJunctionOf, underground trolley tunnel and surface trolley routes]
-
A.
hasJunctionWith
Indicates that one entity meets or intersects with another at a shared junction point.
-
B.
junctionStation
chosen
Indicates that a station functions as a junction where multiple routes or lines intersect or connect.
-
C.
connectsTo
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
D.
isAdjacentTo
Indicates that one entity is directly next to or bordering another without anything of the same type in between.
-
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.
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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0f55f7481909e052a25bd12d455 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d2048d48190ab99ab59accb6909 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.