Triple
T8758101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pemon language |
E208122
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Arekuna |
E547847
|
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: Arekuna | Statement: [Pemon language, hasDialect, Arekuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arekuna Context triple: [Pemon language, hasDialect, Arekuna]
-
A.
Arekuna
chosen
Arekuna are an Indigenous people of the Guiana Highlands region in northern South America, culturally and linguistically related to other Cariban-speaking groups.
-
B.
Erakor
Erakor is a small island and settlement near Efate in Vanuatu, known for its lagoon setting and traditional village life.
-
C.
Lastarria
Lastarria is a historic and bohemian neighborhood in central Santiago, Chile, known for its cultural venues, restaurants, and vibrant street life.
-
D.
Nakoruru
Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
-
E.
Aukena
Aukena is a small inhabited island in the Gambier Islands of French Polynesia, known for its historical Catholic mission sites and scenic lagoon setting.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ddc2d9c81908948aee2b956cce4 |
completed | March 31, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf434232d08190bfee6f5ec1c0b5a6 |
completed | April 3, 2026, 4:34 a.m. |
Created at: March 30, 2026, 6:40 p.m.