Triple
T15805827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Subway M line |
E383212
|
entity |
| Predicate | letterColorStandard |
P34374
|
FINISHED |
| Object | white letter on orange circle |
—
|
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: white letter on orange circle | Statement: [New York City Subway M line, letterColorStandard, white letter on orange circle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: letterColorStandard Context triple: [New York City Subway M line, letterColorStandard, white letter on orange circle]
-
A.
lineLetterColorStandard
chosen
Indicates the standard or default color assigned to the letter representation of a particular line.
-
B.
signatureColor
Indicates that an entity has a characteristic or defining color that is uniquely or primarily associated with it.
-
C.
accentColor
Indicates the color used as a highlight or emphasis within a visual design or interface.
-
D.
laterCaseColor
Indicates that the color of an entity’s case at a later time or stage in a sequence is being specified or related to another case color.
-
E.
bannerColor
Indicates the color associated with a banner in the relationship or context described.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52682548190998d8b6a08982877 |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.