Triple
T35798007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novoye Chaplino |
E1034888
|
entity |
| Predicate | hasFoodSystem |
P196964
|
FINISHED |
| Object | subsistence-based diet |
—
|
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: subsistence-based diet | Statement: [Novoye Chaplino, hasFoodSystem, subsistence-based diet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFoodSystem Context triple: [Novoye Chaplino, hasFoodSystem, subsistence-based diet]
-
A.
hasFoodOption
Indicates that an entity offers, provides, or includes a particular type of food or dining option.
-
B.
hasStapleFood
Indicates that an entity’s primary or regularly consumed basic food item is another specified entity.
-
C.
hasFoodLocation
Indicates that an entity has an associated place where food is stored, served, or consumed.
-
D.
usesFood
Indicates that one entity employs or consumes a food item as a resource, ingredient, or means to achieve some purpose.
-
E.
hasPositionInDiet
Indicates the relative role or ranking that something occupies within a diet or dietary plan.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
| PDg | Predicate description generation | batch_69fe6fe98e38819085100ce4c6cee5b8 |
completed | May 8, 2026, 11:21 p.m. |
Created at: May 3, 2026, 4:06 p.m.