Triple
T5428618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Isidro district (approximate) |
E121426
|
entity |
| Predicate | capitalOfCountryContext |
P37519
|
FINISHED |
| Object | located in the capital city of Peru |
—
|
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: located in the capital city of Peru | Statement: [San Isidro district (approximate), capitalOfCountryContext, located in the capital city of Peru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalOfCountryContext Context triple: [San Isidro district (approximate), capitalOfCountryContext, located in the capital city of Peru]
-
A.
countryCapitalOf
Indicates that a country serves as the capital location for a specified political or geographic entity.
-
B.
capitalCityOfCountry
Indicates that a city serves as the official capital of a specified country.
-
C.
capitalOfFrom
Indicates that a city serves or served as the capital of a specified political entity during a particular time or from a particular source context.
-
D.
countryCapitalContext
chosen
Indicates that one entity serves as the capital city of the specified country in a given contextual or temporal setting.
-
E.
hostsCapitalOf
Indicates that one location serves as the capital city of another administrative or political 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.