Triple
T2942858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Sulawesi |
E79427
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Toraja |
E79047
|
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: Toraja | Statement: [South Sulawesi, hasEthnicGroup, Toraja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toraja Context triple: [South Sulawesi, hasEthnicGroup, Toraja]
-
A.
Toraja
chosen
The Toraja are an indigenous ethnic group of the mountainous region of South Sulawesi, Indonesia, renowned for their elaborate funeral rites, distinctive tongkonan houses, and intricate wood carvings.
-
B.
Sumba
Sumba is a rugged island in eastern Indonesia known for its traditional Marapu culture, megalithic tombs, and distinctive ikat textiles.
-
C.
Gilga
Gilga is a production company known for its work on the television series "Swarm."
-
D.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
E.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9871fc908190ad90e5b01b476b3f |
completed | March 8, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08689ec3481909d9f039069ff19c7 |
completed | March 10, 2026, 9 p.m. |
Created at: March 8, 2026, 2:56 p.m.