Triple
T5420073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quincy station (CTA) |
E121225
|
entity |
| Predicate | isOnLoopSide |
P63544
|
FINISHED |
| Object | Wells Street side of the Loop |
—
|
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: Wells Street side of the Loop | Statement: [Quincy station (CTA), isOnLoopSide, Wells Street side of the Loop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnLoopSide Context triple: [Quincy station (CTA), isOnLoopSide, Wells Street side of the Loop]
-
A.
isLoop
Indicates that something forms or behaves as a closed, repeating cycle or path that returns to its starting point.
-
B.
isOnOuterCircle
Indicates that one entity is positioned on the outer boundary or perimeter of a circular arrangement relative to another entity or reference point.
-
C.
isOnLoopLine
Indicates that one entity (typically a route, track, or segment) lies on or belongs to a loop-shaped line or circuit within a network.
-
D.
isOnInnerCircle
Indicates that one entity belongs to the innermost or most central circle or layer of another entity.
-
E.
isOnCircularRoute
Indicates that an entity follows or belongs to a route that forms a closed loop, starting and ending at the same point.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87e8f1cc81908b997f8a417697c0 |
completed | March 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8741e8588190863fd5cfb559136d |
completed | March 20, 2026, 5:43 p.m. |
Created at: March 20, 2026, 2:06 p.m.