Triple
T16379893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xai-Xai Beach |
E397773
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Changana |
E129307
|
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: Changana | Statement: [Xai-Xai Beach, languageSpoken, Changana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Changana Context triple: [Xai-Xai Beach, languageSpoken, Changana]
-
A.
Changana
chosen
Changana is a Bantu language spoken primarily in southern Mozambique and neighboring regions, known for its significant influence on local varieties of African Portuguese.
-
B.
Chonchi
Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
-
C.
Chinnha
Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
-
D.
Chakosi
Chakosi is a Gur language spoken primarily by the Chakosi (Anufo) people in parts of Ghana, Togo, and Benin.
-
E.
Chanda
Chanda was a historical kingdom associated with the Gond people, an indigenous community of central India.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319da3c6c8190a9ccf744996c31e8 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035689ef08190ba980a359498ca56 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.