Triple
T9754604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Axiom (spaceship) |
E236521
|
entity |
| Predicate | foodFormat |
P73154
|
FINISHED |
| Object | food in cup form |
—
|
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: food in cup form | Statement: [Axiom (spaceship), foodFormat, food in cup form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foodFormat Context triple: [Axiom (spaceship), foodFormat, food in cup form]
-
A.
foodCustom
Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
-
B.
foodPreparationStyle
chosen
Indicates the manner or method by which food is prepared, cooked, or processed.
-
C.
foodItem
Indicates that one entity is a food item that can be eaten or used as food in relation to another entity.
-
D.
feastType
Indicates the specific kind or category of feast associated with an event or occasion.
-
E.
foodCulture
Indicates the relationship between a place or group and its characteristic traditions, practices, and preferences surrounding food and eating.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb01ad08190b2435fa505c622bc |
completed | April 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.