Triple
T3556872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTA Brown Line |
E75239
|
entity |
| Predicate | openedAsThroughRouteToLoop |
P24035
|
FINISHED |
| Object | 1949 |
—
|
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: 1949 | Statement: [CTA Brown Line, openedAsThroughRouteToLoop, 1949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsThroughRouteToLoop Context triple: [CTA Brown Line, openedAsThroughRouteToLoop, 1949]
-
A.
openedAsThroughRoute
chosen
Indicates that a route or service began operating as a continuous through connection, rather than as separate or terminating segments.
-
B.
openedRouteThrough
Indicates that one entity has created or established a passage, connection, or pathway that allows movement or access through another entity or area.
-
C.
reopenedForNavigation
Indicates that something previously closed to traffic or passage has been opened again for navigational use.
-
D.
reopenedInCurrentLocation
Indicates that an entity, after having been closed or moved, has been opened again at its present location.
-
E.
formsLoopAround
Indicates that one entity extends or curves so as to create a closed loop encircling or surrounding another entity or region.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc057cc788190a6c4f3781f43abce |
completed | March 8, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69adb83270ac819083967db0570167d2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:20 p.m.