Triple
T22106194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maringe |
E546292
|
entity |
| Predicate | alternateNameOf |
P39
|
FINISHED |
| Object | Cheke Holo |
—
|
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: Cheke Holo | Statement: [Maringe, alternateNameOf, Cheke Holo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheke Holo Context triple: [Maringe, alternateNameOf, Cheke Holo]
-
A.
Cheke Holo
chosen
Cheke Holo is an Oceanic language spoken in the Solomon Islands, particularly on Santa Isabel Island.
-
B.
Chekka
Chekka is a coastal town in northern Lebanon known for its beaches, industrial facilities, and location along the Mediterranean Sea.
-
C.
Chekecha Cheketua
Chekecha Cheketua is a popular Tanzanian Bongo Flava hit song by Ali Kiba known for its catchy melody and danceable rhythm.
-
D.
Songololo
Songololo is a town in the western Democratic Republic of the Congo, situated near the border with Angola and known as a local transport and trade hub.
-
E.
Hosaena
Hosaena is a town in southern Ethiopia that serves as an important administrative and commercial center in the Southern Nations, Nationalities, and Peoples' Region.
- 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_69f12919dd388190b8ca08e2464cb0b8 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.