Triple
T7682954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maracay |
E174040
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Caracas |
E54898
|
NE 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: Caracas | Statement: [Maracay, locatedNear, Caracas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caracas Context triple: [Maracay, locatedNear, Caracas]
-
A.
Caracas
chosen
Caracas is the capital and largest city of Venezuela, known as a major political, cultural, and economic center in northern South America.
-
B.
Maracaibo
Maracaibo is a major Venezuelan city known as an important oil-producing and commercial center located on the western shore of Lake Maracaibo.
-
C.
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.
-
D.
Bogotá
Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
-
E.
Santa Marta
Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements in South America.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7021ce1308190be58d17ebaafa6ae |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a25304b88190920c2e4908925ce2 |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4:01 p.m.