Triple
T6208101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingushetia |
E138797
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Magas |
E416679
|
NE FINISHED |
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: Magas | Statement: [Ingushetia, hasCity, Magas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magas Context triple: [Ingushetia, hasCity, Magas]
-
A.
Magas
chosen
Magas is the planned modern capital city of the Republic of Ingushetia in the North Caucasus region of Russia.
-
B.
Marag
Marag is a dialect of the Isnag language spoken by the Isnag people in the northern Philippines.
-
C.
Mota
Mota is an Oceanic language of northern Vanuatu, historically notable as a regional lingua franca and early mission language in the area.
-
D.
Marum
Marum is a former municipality in the Dutch province of Groningen that became part of the larger municipality of Westerkwartier after an administrative reorganization.
-
E.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062870d5881909b8d4e33ff31a907 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20da55e3c81909a61471b38e88894 |
completed | March 24, 2026, 4:05 a.m. |
Created at: March 22, 2026, 4:20 p.m.