Triple
T25092014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Dogs |
E628486
|
entity |
| Predicate | hasHotDogThemedPromotions |
P158178
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chicago Dogs, hasHotDogThemedPromotions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHotDogThemedPromotions Context triple: [Chicago Dogs, hasHotDogThemedPromotions, yes]
-
A.
hasMainPromotion
Indicates that an entity is associated with its primary or most prominent promotional offer or campaign.
-
B.
hasSeasonalPromotions
Indicates that an entity offers promotions or special deals that occur during specific seasons or time-limited periods.
-
C.
hasPromotionMechanism
Indicates that there exists a specific method, strategy, or process by which something is promoted, advanced, or made more widely known.
-
D.
hasPromotionStyle
Indicates the manner or approach used to promote or market something in relation to another entity.
-
E.
hasPromotionMethod
Indicates the method or strategy by which something is promoted or advertised.
- F. None of above. chosen
Provenance (4 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 6:24 a.m.