Triple
T19854082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Transit Authority Brown Line stations |
E477084
|
entity |
| Predicate | useSignageStandard |
P1739
|
FINISHED |
| Object | CTA standard station signage |
—
|
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: CTA standard station signage | Statement: [Chicago Transit Authority Brown Line stations, useSignageStandard, CTA standard station signage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: useSignageStandard Context triple: [Chicago Transit Authority Brown Line stations, useSignageStandard, CTA standard station signage]
-
A.
usesSignageColorSystem
Indicates that an entity employs a specific color-based signage system to convey information, instructions, or guidance.
-
B.
signageStandard
chosen
Indicates that something conforms to, follows, or specifies a particular standard or convention for signage.
-
C.
scriptUsedInSignage
Indicates that a particular writing system or script is employed in the text or graphics of a sign or signage.
-
D.
hasSignage
Indicates that appropriate signs or visual markers are present to convey information, directions, warnings, or identification related to the associated entity.
-
E.
hasSignageType
Indicates the specific category or kind of signage associated with an object, location, or 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586aa1dc8190b6cfe051a57e338b |
completed | April 20, 2026, 4:46 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.