Triple
T28249972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRT (A Division) lines |
E712285
|
entity |
| Predicate | usesSignageColorScheme |
P107031
|
FINISHED |
| Object | numbered services |
—
|
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: numbered services | Statement: [IRT (A Division) lines, usesSignageColorScheme, numbered services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSignageColorScheme Context triple: [IRT (A Division) lines, usesSignageColorScheme, numbered services]
-
A.
usesSignageColorSystem
chosen
Indicates that an entity employs a specific color-based signage system to convey information, instructions, or guidance.
-
B.
hasNationalSignageColor
Indicates that an entity uses a particular color (or set of colors) as its officially designated national signage color scheme.
-
C.
hasSignage
Indicates that appropriate signs or visual markers are present to convey information, directions, warnings, or identification related to the associated entity.
-
D.
signageTextColor
Indicates the color used for the text displayed on a sign.
-
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_69efb51fb98881909692421959ec0170 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 27, 2026, 11:04 p.m.