Triple
T4393760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaSalle/Van Buren |
E99429
|
entity |
| Predicate | loopServiceRole |
P11687
|
FINISHED |
| Object | downtown transfer point |
—
|
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: downtown transfer point | Statement: [LaSalle/Van Buren, loopServiceRole, downtown transfer point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loopServiceRole Context triple: [LaSalle/Van Buren, loopServiceRole, downtown transfer point]
-
A.
systemRole
Indicates the functional position or responsibility that an entity holds within a larger system or structure.
-
B.
servesRole
chosen
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
-
C.
configurationRole
Indicates the role or function an entity assumes within a particular configuration or setup.
-
D.
servicePrinciple
Indicates a relationship where one entity acts as a service principal, representing an application or service identity that can authenticate and be granted permissions to access resources on behalf of that service.
-
E.
unitRole
Indicates the functional role or purpose that a unit serves within a larger system or context.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352a8862481909dc67abf42be6928 |
completed | March 12, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69b34f597998819092477efdedb51427 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.