Triple
T15362986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Park branch |
E367335
|
entity |
| Predicate | hasTransferToBus |
P89762
|
FINISHED |
| Object | CTA bus network |
—
|
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: CTA bus network | Statement: [Forest Park branch, hasTransferToBus, CTA bus network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransferToBus Context triple: [Forest Park branch, hasTransferToBus, CTA bus network]
-
A.
hasTransfer
Indicates a relationship where something is moved or conveyed from one entity or location to another.
-
B.
hasTransferOption
chosen
Indicates that there exists a way or method for something (e.g., funds, data, ownership, or passengers) to be transferred from one entity or location to another.
-
C.
hasBusInterchange
Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
-
D.
hasTransferComplex
Indicates that an entity participates in or is associated with a transfer complex that mediates the movement of another entity (such as a substance, signal, or molecule) between locations or systems.
-
E.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e479f188190bbbc3dcd73853e02 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.