Triple
T36106753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ANC |
E1044379
|
entity |
| Predicate | parentCountryName |
P48279
|
FINISHED |
| Object | Republic of Peru |
—
|
NE NERFINISHED |
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: Republic of Peru | Statement: [ANC, parentCountryName, Republic of Peru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentCountryName Context triple: [ANC, parentCountryName, Republic of Peru]
-
A.
parentCountryCode
Indicates that the value is the standardized country code of the country that has jurisdiction or primary association over the referenced entity.
-
B.
parentCountryOfOrigin
Indicates that one country is the original source or homeland from which another country historically emerged or originated.
-
C.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
D.
mainCountry
chosen
Indicates that one country is the primary or most significant country associated with a given entity or context.
-
E.
ownerCountry
Indicates the country that has legal ownership or control over a given entity.
- 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_69f76e338e2c8190b7f3bc68bec76349 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: May 3, 2026, 4:08 p.m.