Triple
T9577715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sawunese language |
E231085
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object |
Sawu
Sawu is an Austronesian language spoken primarily on Savu (Sawu) Island in eastern Indonesia.
|
E809251
|
NE FINISHED |
How this triple was built (4 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: Sawu | Statement: [Sawunese language, glottologName, Sawu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sawu Context triple: [Sawunese language, glottologName, Sawu]
-
A.
Watampone
Watampone is the main urban and administrative center of Bone Regency in South Sulawesi, Indonesia.
-
B.
Kali Mata
Kali Mata is a fierce and widely revered Hindu goddess, regarded as a powerful form of the Divine Mother associated with time, destruction of evil, and spiritual liberation.
-
C.
Mendanau
Mendanau is an island in Indonesia’s Bangka Belitung province, known for its coastal landscapes and role in the region’s maritime and fishing activities.
-
D.
Sukoró
Sukoró is a village in Hungary’s Fejér County, known as a lakeside resort and recreational area on the northern shore of Lake Velence.
-
E.
Waingapu
Waingapu is the main urban and economic center of the Indonesian island of Sumba, serving as a key hub for transportation and regional administration.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sawu Triple: [Sawunese language, glottologName, Sawu]
Generated description
Sawu is an Austronesian language spoken primarily on Savu (Sawu) Island in eastern Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sawu Target entity description: Sawu is an Austronesian language spoken primarily on Savu (Sawu) Island in eastern Indonesia.
-
A.
Watampone
Watampone is the main urban and administrative center of Bone Regency in South Sulawesi, Indonesia.
-
B.
Kali Mata
Kali Mata is a fierce and widely revered Hindu goddess, regarded as a powerful form of the Divine Mother associated with time, destruction of evil, and spiritual liberation.
-
C.
Mendanau
Mendanau is an island in Indonesia’s Bangka Belitung province, known for its coastal landscapes and role in the region’s maritime and fishing activities.
-
D.
Sukoró
Sukoró is a village in Hungary’s Fejér County, known as a lakeside resort and recreational area on the northern shore of Lake Velence.
-
E.
Waingapu
Waingapu is the main urban and economic center of the Indonesian island of Sumba, serving as a key hub for transportation and regional administration.
- F. None of above. chosen
Provenance (5 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ad7d108190a0b8c975351ea727 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16155b3288190ac135c3a1e58cc7e |
completed | April 4, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d161e6a1308190932c8386e1c24f2e |
completed | April 4, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d165a8c80081909e4d0837cbaabf95 |
completed | April 4, 2026, 7:25 p.m. |
Created at: March 30, 2026, 8:05 p.m.