Triple
T9577485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wetar language |
E231080
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Wetar (Dai) |
E809228
|
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: Wetar (Dai) | Statement: [Wetar language, hasAlternativeName, Wetar (Dai)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wetar (Dai) Context triple: [Wetar language, hasAlternativeName, Wetar (Dai)]
-
A.
Wetar-Dai
chosen
Wetar-Dai is an Austronesian language variety spoken on Wetar Island in Indonesia, closely related to other Central Malayo-Polynesian languages.
-
B.
Tewai
Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
C.
Dauin
Dauin is a coastal municipality in Negros Oriental, Philippines, known for its rich marine biodiversity and popular dive sites, including access to the renowned Apo Island.
-
D.
Wanggudu
Wanggudu is a town in Indonesia’s Southeast Sulawesi province, known as a local administrative and population center in the region.
-
E.
Waiyana
Waiyana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
- 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_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_69d17907de488190be97e58b05b6c6f2 |
completed | April 4, 2026, 8:48 p.m. |
Created at: March 30, 2026, 8:05 p.m.