Triple
T100711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peru |
E2033
|
entity |
| Predicate | nationalDish |
P1016
|
FINISHED |
| Object | ceviche |
—
|
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: ceviche | Statement: [Peru, nationalDish, ceviche]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalDish Context triple: [Peru, nationalDish, ceviche]
-
A.
nationalFruit
Indicates that a particular fruit is officially designated as the national fruit of a country or region.
-
B.
traditionalCuisine
chosen
Indicates that an entity is associated with the customary or historically rooted style of cooking and food preparation characteristic of a particular culture, region, or community.
-
C.
placeOfOrigin
Indicates the location or source from which an entity originally comes or was created.
-
D.
nationalAnthem
Indicates that one entity is the official national anthem of the other (typically a country or nation-state).
-
E.
nationalSport
Indicates that a particular sport is officially recognized as the primary or representative sport of a country or nation.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a25760af348190bf402089c240887d |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2563921f8819087f720b1c803579f |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.