Triple
T248467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTA Red Line Sox–35th station |
E5088
|
entity |
| Predicate | hasConnection |
P8776
|
FINISHED |
| Object | CTA bus services |
—
|
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 services | Statement: [CTA Red Line Sox–35th station, hasConnection, CTA bus services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConnection Context triple: [CTA Red Line Sox–35th station, hasConnection, CTA bus services]
-
A.
hasTeleconnectionsWith
Indicates a relationship where changes or variations in one system, region, or variable are statistically linked to corresponding changes in another, often distant, system, region, or variable.
-
B.
hasClient
Indicates that an entity maintains a client relationship with another entity, typically as a provider of goods or services.
-
C.
hasCurrent
Indicates that an entity presently possesses, exhibits, or is associated with a particular state, attribute, or resource at the current time.
-
D.
hasSession
Indicates that an entity is associated with, participates in, or contains a particular session instance.
-
E.
hasProcess
Indicates that an entity is associated with, participates in, or is characterized by a particular process.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d154ebc819087a5c9dc4f62ff44 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b64ea3081908de626a0e1445bdb |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c2ca46c81908c61696f31e59a98 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.