Triple
T17673576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randolph/Wabash station |
E440586
|
entity |
| Predicate | replacementPurpose |
P95000
|
FINISHED |
| Object | modernization of Loop stations |
—
|
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: modernization of Loop stations | Statement: [Randolph/Wabash station, replacementPurpose, modernization of Loop stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacementPurpose Context triple: [Randolph/Wabash station, replacementPurpose, modernization of Loop stations]
-
A.
primaryReplacementFor
Indicates that one entity serves as the main or preferred substitute or successor for another entity.
-
B.
replacementProject
chosen
Indicates that one entity is a project intended to replace or supersede another entity or project.
-
C.
relocatedForPurpose
Indicates that an entity moved from one location to another specifically to fulfill or pursue a particular purpose or objective.
-
D.
replacementOutcome
Indicates the result or consequence that follows from one entity being replaced by another.
-
E.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6aa64081908c9a82128a5a9024 |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10 a.m.