Triple
T5263542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winged Wheel |
E118883
|
entity |
| Predicate | predecessorLogoOf |
P59294
|
FINISHED |
| Object | Detroit Cougars logo |
—
|
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: Detroit Cougars logo | Statement: [Winged Wheel, predecessorLogoOf, Detroit Cougars logo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorLogoOf Context triple: [Winged Wheel, predecessorLogoOf, Detroit Cougars logo]
-
A.
hasFormerLogo
Indicates that an entity is associated with a logo it used in the past but no longer uses.
-
B.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
-
C.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
D.
predecessorAvatar
chosen
Indicates that one avatar existed or was used before another avatar in a temporal or version sequence.
-
E.
predecessorFamily
Indicates that one family is the earlier or ancestral family from which another family descends or follows.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bd2eff4819087420e30c140e6f6 |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.