Triple
T21167913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Urdaneta |
E521616
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Maracaibo |
—
|
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: Maracaibo | Statement: [Rafael Urdaneta, birthPlace, Maracaibo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maracaibo Context triple: [Rafael Urdaneta, birthPlace, Maracaibo]
-
A.
Maracaibo
chosen
Maracaibo is a major Venezuelan city known as an important oil-producing and commercial center located on the western shore of Lake Maracaibo.
-
B.
Caracas
Caracas is the capital and largest city of Venezuela, known as a major political, cultural, and economic center in northern South America.
-
C.
Acarigua
Acarigua is a major commercial and agricultural city in western Venezuela, known as an important center for the surrounding plains region.
-
D.
Mérida, Venezuela
Mérida, Venezuela is an Andean city known for its colonial architecture, vibrant university life, and proximity to the Sierra Nevada mountains and the Mérida cable car.
-
E.
Barquisimeto
Barquisimeto is a major city in western Venezuela known as a commercial and cultural center, often called the "Musical City" for its rich musical traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72710c73881908d41aedff8984da9 |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.