Triple
T7768390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marapu |
E179007
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Sumba |
E29821
|
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: Sumba | Statement: [Marapu, region, Sumba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sumba Context triple: [Marapu, region, Sumba]
-
A.
Sumba
chosen
Sumba is a rugged island in eastern Indonesia known for its traditional Marapu culture, megalithic tombs, and distinctive ikat textiles.
-
B.
Sumba
Sumba is a small village located at the southern tip of Suðuroy in the Faroe Islands, known for its dramatic coastal cliffs and remote, rugged landscape.
-
C.
Southwest Sumba Regency
Southwest Sumba Regency is a regency-level administrative region located on the island of Sumba in East Nusa Tenggara, Indonesia, known for its traditional villages, megalithic tombs, and distinctive Marapu culture.
-
D.
Nias
Nias is a large island off the western coast of Sumatra in Indonesia, known for its unique megalithic culture, traditional villages, and world-class surfing waves.
-
E.
Sabara
Sabara is a surname most notably associated with American actor Daryl Sabara, known for his role in the "Spy Kids" film series.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70435b7f88190a5e68e6ae701c58f |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c937a70a94819090ff91dfa463682b |
completed | March 29, 2026, 2:31 p.m. |
Created at: March 27, 2026, 4:11 p.m.