Triple
T885322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow Line (CTA) |
E19116
|
entity |
| Predicate | typeOfRightOfWay |
P5038
|
FINISHED |
| Object | grade-separated |
—
|
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: grade-separated | Statement: [Yellow Line (CTA), typeOfRightOfWay, grade-separated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRightOfWay Context triple: [Yellow Line (CTA), typeOfRightOfWay, grade-separated]
-
A.
typeOfRight
chosen
Indicates the specific category or nature of a right that is held, exercised, or assigned in a given context.
-
B.
someRightOfWayUsedBy
Indicates that a particular right of way is utilized or traversed by a specified user, route, or transport entity.
-
C.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
D.
roadType
Indicates the classification or category of a road based on its functional or physical characteristics.
-
E.
typeOfLicense
Indicates the specific kind or category of license associated with an 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ae787bf081909533082ca013624a |
completed | March 1, 2026, 9:24 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8ff8c48190a33b00acf65c1276 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.