Triple
T20564042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Province |
E504919
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Dumbéa |
—
|
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: Dumbéa | Statement: [South Province, hasMajorCity, Dumbéa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dumbéa Context triple: [South Province, hasMajorCity, Dumbéa]
-
A.
Dumbéa
chosen
Dumbéa is a suburban commune of Greater Nouméa in New Caledonia, known for its rapid urban growth and mix of residential areas and natural river valleys.
-
B.
Belavia
Belavia is the national flag carrier airline of Belarus, operating scheduled passenger and cargo services primarily from its base in Minsk.
-
C.
Pampatar
Pampatar is a coastal city and port on Margarita Island in Venezuela, known for its colonial fortifications and tourism.
-
D.
Aucas
Aucas is an Ecuadorian professional football club based in Quito, known for competing in the country’s top division.
-
E.
Tumbalá
Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a0a0488190a534050b40ff47da |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.