Triple
T22933820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saluan people |
E569517
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Batui |
—
|
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: Batui | Statement: [Saluan people, language, Batui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batui Context triple: [Saluan people, language, Batui]
-
A.
Batui
chosen
Batui is an alternative name for the Saluan language, an Austronesian language spoken in Central Sulawesi, Indonesia.
-
B.
Banggae
Banggae is an alternative name for the Banggai language, an Austronesian language spoken in the Banggai Islands of Indonesia.
-
C.
Baengnokdam
Baengnokdam is the scenic volcanic crater lake at the summit of Hallasan on Jeju Island, South Korea, renowned for its dramatic landscape and cultural significance.
-
D.
Baloi
Baloi is a royal house associated with the historic Sultanate of Lanao in the southern Philippines.
-
E.
Maninbo
Maninbo is an expansive multi-volume poetry collection by Korean poet Ko Un that portrays the lives and stories of thousands of individuals, forming a kind of poetic encyclopedia of modern Korean history.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18134484c8190b7311606c17d058d |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.