Triple
T30057427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canal Streetcar Line |
E763769
|
entity |
| Predicate | hasColorOrBranding |
P85337
|
FINISHED |
| Object | red streetcars |
—
|
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: red streetcars | Statement: [Canal Streetcar Line, hasColorOrBranding, red streetcars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorOrBranding Context triple: [Canal Streetcar Line, hasColorOrBranding, red streetcars]
-
A.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
B.
usesBrandColor
Indicates that one entity applies or displays another entity’s official brand color in its appearance, design, or materials.
-
C.
colorProcessBranding
Indicates a branding-related process that defines or applies specific colors to represent an entity’s visual identity.
-
D.
hasCoBrand
Indicates that two brands are jointly associated or partnered in offering a product, service, or marketing initiative.
-
E.
containsColor
chosen
Indicates that one entity includes or exhibits the color specified by another 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_69f224716378819087a722e487832b70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00c9ddd62881909859a36b114a4132 |
completed | May 10, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_6a00c939b88881909d5353db4265e572 |
completed | May 10, 2026, 6:06 p.m. |
Created at: April 29, 2026, 6:56 p.m.