Triple
T534301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFC North |
E12292
|
entity |
| Predicate | hasColorAssociation |
P7182
|
FINISHED |
| Object | black and gold (Pittsburgh Steelers) |
—
|
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: black and gold (Pittsburgh Steelers) | Statement: [AFC North, hasColorAssociation, black and gold (Pittsburgh Steelers)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorAssociation Context triple: [AFC North, hasColorAssociation, black and gold (Pittsburgh Steelers)]
-
A.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
C.
colorOftenUsed
chosen
Indicates that a particular color is frequently used or commonly applied in relation to something.
-
D.
hasVestmentColor
Indicates that an entity is associated with or characterized by a specific color of vestment.
-
E.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b3e49081909810fa417b31306f |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.