Triple
T742849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Gray Line |
E15279
|
entity |
| Predicate | colorSymbolizes |
P129
|
FINISHED |
| Object | gray cadet uniforms at West Point |
—
|
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 cadet uniforms at West Point | Statement: [Long Gray Line, colorSymbolizes, gray cadet uniforms at West Point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorSymbolizes Context triple: [Long Gray Line, colorSymbolizes, gray cadet uniforms at West Point]
-
A.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
B.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
symbolDescription
Indicates that a symbol is associated with or defined by a particular descriptive explanation or meaning.
-
D.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
E.
redStripeMeaning
Indicates that something has a red-colored stripe and conveys the meaning, symbolism, or significance associated with that red stripe.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a60f92d08190a4f44c5b4d068ab5 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fdaaf48190985f62acfc069508 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.