Triple
T33331800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coro, Venezuela |
E853424
|
entity |
| Predicate | wasCapitalOfVenezuelaFrom |
P13206
|
FINISHED |
| Object | 1527 |
—
|
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: 1527 | Statement: [Coro, Venezuela, wasCapitalOfVenezuelaFrom, 1527]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasCapitalOfVenezuelaFrom Context triple: [Coro, Venezuela, wasCapitalOfVenezuelaFrom, 1527]
-
A.
wasDeFactoCapitalOf
Indicates that a place functioned in practice as the capital of a political entity, even if it was not officially designated as such.
-
B.
servedAsCapitalDuring
Indicates that a place functioned as the official capital of a political entity during a specified time period.
-
C.
servedAsNationalCapitalFrom
chosen
Indicates that a place functioned as the national capital of a country or political entity during a specified time period.
-
D.
wasFirstCapitalOf
Indicates that one place previously served as the earliest or original capital city of another political or administrative entity.
-
E.
hasPresidentOfVenezuela
Indicates that one entity serves as the president of Venezuela in relation to another 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:34 a.m.