Triple
T20702653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haggis |
E508820
|
entity |
| Predicate | notableIngredientRestrictionInUS |
P141152
|
FINISHED |
| Object | sheep lung |
—
|
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: sheep lung | Statement: [Haggis, notableIngredientRestrictionInUS, sheep lung]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableIngredientRestrictionInUS Context triple: [Haggis, notableIngredientRestrictionInUS, sheep lung]
-
A.
dietaryConsideration
Indicates a relationship where one entity specifies nutritional restrictions, preferences, or requirements that should be taken into account for another entity.
-
B.
dietaryOptions
Indicates the types of diets or food-related preferences, restrictions, or choices that are applicable to or offered for an entity.
-
C.
allowsUseOfNonLocalIngredients
Indicates that an entity permits the use of ingredients sourced from outside the local area.
-
D.
usesIngredient
Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
-
E.
isAllergenFor
Indicates that one entity acts as an allergen that can trigger an allergic reaction in another entity.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18cb9cc819095d0669dca037424 |
completed | April 21, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:12 p.m.