Triple
T2506438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Chicago, Illinois |
E52593
|
entity |
| Predicate | hasRailroadHeritage |
P28401
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [West Chicago, Illinois, hasRailroadHeritage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRailroadHeritage Context triple: [West Chicago, Illinois, hasRailroadHeritage, true]
-
A.
hasRailroadHistory
chosen
Indicates that an entity is associated with, involved in, or notable for historical events, operations, or developments related to railroads.
-
B.
hasRailroadHistoryWith
Indicates a historical relationship or connection between entities involving railroads, such as shared development, operation, or significant events in railway history.
-
C.
openedAsHeritageRailway
Indicates that a railway line or route was reopened specifically for heritage or tourist purposes rather than for regular commercial transport service.
-
D.
hasHeritageRailwayStation
Indicates that an entity possesses or is associated with a railway station that is preserved or operated as a heritage or historical railway facility.
-
E.
formerRailroad
Indicates that an entity was previously a railroad but no longer functions as one.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.