Triple
T13354503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S (New York City Subway service) |
E318152
|
entity |
| Predicate | symbolColorFamily |
P84769
|
FINISHED |
| Object | gray |
—
|
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: gray | Statement: [S (New York City Subway service), symbolColorFamily, gray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolColorFamily Context triple: [S (New York City Subway service), symbolColorFamily, gray]
-
A.
languageFamilyColor
Indicates that a language family is associated with a particular color, typically for visualization or categorization purposes.
-
B.
iconColor
chosen
Indicates the color attribute assigned to an icon in a user interface or graphical context.
-
C.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
D.
signatureColor
Indicates that an entity has a characteristic or defining color that is uniquely or primarily associated with it.
-
E.
familyColor
Indicates that two entities share the same family-associated color or that one entity has a color characteristic of its family group.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99f1ef94c81909a59b7c3f77d3335 |
completed | April 11, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69d98f6fd8bc819086dddb6f376efa57 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:32 p.m.