Triple
T22099499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subanon |
E546128
|
entity |
| Predicate | traditionalInstrument |
P8530
|
FINISHED |
| Object | agung |
—
|
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: agung | Statement: [Subanon, traditionalInstrument, agung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: agung Context triple: [Subanon, traditionalInstrument, agung]
-
A.
ag
ag is a fast, command-line code-search tool popular among developers for quickly searching large codebases.
-
B.
Ngantang
Ngantang is a district in Malang Regency, East Java, Indonesia, known for its cool highland climate and proximity to the Selorejo Dam and surrounding agricultural landscapes.
-
C.
agong
chosen
The agong is a large, bossed hanging gong central to Maranao music and ceremonial traditions in the southern Philippines.
-
D.
Goreangab
Goreangab is a residential suburb of Windhoek in Namibia’s Khomas Region, known for its growing housing developments and proximity to the Goreangab Dam.
-
E.
UNAIR
UNAIR is the commonly used abbreviation for Airlangga University, a major public university located in Surabaya, Indonesia.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291440048190992c48893ced0b34 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.