Triple
T18598764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biak people |
E454564
|
entity |
| Predicate | relatedEthnicGroup |
P1969
|
FINISHED |
| Object | Numfor people |
—
|
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: Numfor people | Statement: [Biak people, relatedEthnicGroup, Numfor people]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Numfor people Context triple: [Biak people, relatedEthnicGroup, Numfor people]
-
A.
Numfor
Numfor is a small Indonesian island in the Papuan Islands archipelago, known for its rich biodiversity and World War II historical significance.
-
B.
Numfor language
chosen
The Numfor language is an Austronesian language spoken on Numfor Island in Indonesia’s Papua region, belonging to the South Halmahera–West New Guinea subgroup.
-
C.
NUM
NUM is a common abbreviation for the National University of Mongolia, the country’s oldest and largest public university and a leading center of higher education and research in Mongolia.
-
D.
NUMB
NUMB is the Northwestern University Marching Band, the official marching ensemble that performs at athletic events and university functions.
-
E.
Numbers
Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5474f1d548190b74408eabd396344 |
completed | April 19, 2026, 9:21 p.m. |
Created at: April 10, 2026, 11:45 a.m.