Triple
T23122483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modang people |
E576933
|
entity |
| Predicate | hasAutonym |
P1435
|
FINISHED |
| Object | Modang |
—
|
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: Modang | Statement: [Modang people, hasAutonym, Modang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Modang Context triple: [Modang people, hasAutonym, Modang]
-
A.
Modang
chosen
Modang is an Austroasiatic language spoken by the Modang people of Borneo, primarily in East Kalimantan, Indonesia.
-
B.
Baeggu
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
-
C.
Myeongnong
Myeongnong was the birth name of King Seong, a prominent 6th-century ruler of the Korean kingdom of Baekje known for his cultural and diplomatic achievements.
-
D.
Gukje Sijang
Gukje Sijang is one of South Korea’s largest and most famous traditional markets, located in Busan and known for its wide variety of goods and bustling atmosphere.
-
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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e517a0481909829a73fdf255d1c |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.