Triple
T23136148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jangamo District |
E577327
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Jangamo |
—
|
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: Jangamo | Statement: [Jangamo District, capital, Jangamo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jangamo Context triple: [Jangamo District, capital, Jangamo]
-
A.
Jangamo
chosen
Jangamo is a coastal town and district in southern Mozambique known for its beaches and proximity to popular diving and fishing areas along the Indian Ocean.
-
B.
Marathokampos
Marathokampos is a coastal village and municipality on the Greek island of Samos, known for its traditional character, beaches, and proximity to mountainous landscapes.
-
C.
Atalaya
Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
-
D.
Atalaya
Atalaya is a neighborhood within Madrid’s Ciudad Lineal district, known primarily as a residential area.
-
E.
Maras
Maras is a small Andean town in Peru’s Sacred Valley, known for its ancient terraced salt pans that have been harvested since Inca times.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8b694c8190b9ead00ea0576d90 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.