Triple
T612525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cracidae |
E12129
|
entity |
| Predicate | primaryFood |
P17103
|
FINISHED |
| Object | fruits |
—
|
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: fruits | Statement: [Cracidae, primaryFood, fruits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFood Context triple: [Cracidae, primaryFood, fruits]
-
A.
primaryServes
Indicates that one entity’s main or principal function is to serve, support, or provide service to another entity.
-
B.
mainFoodAffected
Indicates that a primary or central food item is directly impacted or influenced by a specified action or condition.
-
C.
preysOn
Indicates that one entity hunts, kills, and consumes another entity as a food source.
-
D.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
E.
foodCustom
Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e07739481909930a6577c081b9e |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cfa7b4481909bec7a5fd3e98c65 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49def31ec81909dc53e70f4a36eda |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.