Triple
T7305165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonsawang language |
E167955
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Tonsawang-Toundanow |
E638878
|
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: Tonsawang-Toundanow | Statement: [Tonsawang language, hasAlternativeName, Tonsawang-Toundanow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonsawang-Toundanow Context triple: [Tonsawang language, hasAlternativeName, Tonsawang-Toundanow]
-
A.
Tonsawang
chosen
Tonsawang is an Austronesian language spoken by the Tonsawang people in North Sulawesi, Indonesia.
-
B.
Thavung
Thavung is an ethnic minority group in Vietnam, culturally and linguistically distinct yet historically connected to the majority Kinh people.
-
C.
Tasiwit
Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
-
D.
Mongpan
Mongpan is a historic Shan principality in what is now Myanmar, known as one of the traditional Shan States.
-
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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebd61c0c8190abb1368c9dfb1550 |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eeeaa7488190adb55df8705e0952 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:01 p.m.