Triple
T20792133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toba Batak |
E511803
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Pakpak-Dairi Batak |
—
|
NE NERFINISHED |
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: Pakpak-Dairi Batak | Statement: [Toba Batak, closelyRelatedTo, Pakpak-Dairi Batak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pakpak-Dairi Batak Context triple: [Toba Batak, closelyRelatedTo, Pakpak-Dairi Batak]
-
A.
Pakpak-Dairi
chosen
Pakpak-Dairi is an Austronesian language spoken by the Pakpak (Dairi) people of northern Sumatra, Indonesia.
-
B.
Toba Batak
Toba Batak is an Austronesian language spoken primarily by the Toba Batak people of North Sumatra, Indonesia.
-
C.
Tapanuli
Tapanuli is a region in northern Sumatra, Indonesia, known for its Batak cultural heritage and distinct highland landscapes.
-
D.
Ratahan
Ratahan is a town in North Sulawesi, Indonesia, known as an administrative and residential center situated near the active volcano Mount Soputan.
-
E.
Sibolga
Sibolga is a coastal city and port on the western coast of Sumatra, Indonesia, known as a gateway to nearby islands and marine tourism areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2910d488190bc4be37512effc86 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.