Triple
T16824307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonga (southern Africa) |
E408975
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Batonga |
E570267
|
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: Batonga | Statement: [Tonga (southern Africa), alsoKnownAs, Batonga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batonga Context triple: [Tonga (southern Africa), alsoKnownAs, Batonga]
-
A.
Baganga
Baganga is a coastal municipality in the province of Davao Oriental in the Philippines, known for its beaches, waterfalls, and rich marine and forest resources.
-
B.
Tanambogo
Tanambogo is a small island in the Central Province of the Solomon Islands, notable for its role as a Japanese seaplane base and site of intense fighting during World War II.
-
C.
Tolitoli
Tolitoli is a coastal town and regency capital in Central Sulawesi, Indonesia, known as a regional hub for trade and agriculture.
-
D.
Bitonga
chosen
Bitonga is a Bantu language spoken primarily by the Bitonga people in Mozambique’s Inhambane Province.
-
E.
Baniva
Baniva is an alternate name for the Baniwa language, an Arawakan language spoken by Indigenous communities in the northwest Amazon region of Brazil, Colombia, and Venezuela.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b310ffec81908087e5aaacc4a7c2 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29c170c81908fcc88c31e266ffb |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.