Triple
T19588799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocumare del Tuy |
E470173
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Charallave |
—
|
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: Charallave | Statement: [Ocumare del Tuy, hasNearbyCity, Charallave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charallave Context triple: [Ocumare del Tuy, hasNearbyCity, Charallave]
-
A.
Charallave
chosen
Charallave is a key urban center in Miranda State, Venezuela, known as a commercial and transportation hub within the Valles del Tuy region.
-
B.
Tulcán
Tulcán is a city in northern Ecuador, capital of Carchi Province, known as a key Andean border crossing with Colombia and for its famous topiary cemetery.
-
C.
Vilcashuamán
Vilcashuamán is a historic Andean town in Peru known for its well-preserved Inca archaeological complex, including temples, terraces, and ceremonial structures.
-
D.
Ataypura
"Ataypura" is a traditional Peruvian song best known internationally through Yma Sumac’s iconic vocal performance, showcasing Andean melodies and extraordinary vocal range.
-
E.
Camaná
Camaná is a coastal city in southern Peru known for its beaches, agriculture, and role as a regional commercial center.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64054299481908d83c85cefdab075 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:43 p.m.