Triple
T22652767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kozmodemyansk |
E559136
|
entity |
| Predicate | languageUsed |
P238
|
FINISHED |
| Object | Hill Mari |
—
|
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: Hill Mari | Statement: [Kozmodemyansk, languageUsed, Hill Mari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hill Mari Context triple: [Kozmodemyansk, languageUsed, Hill Mari]
-
A.
Hill Mari
chosen
Hill Mari is a Uralic (Finno-Ugric) language spoken by the Hill Mari people, primarily in the Mari El Republic of Russia.
-
B.
Tymberlee Hill
Tymberlee Hill is an American actress and comedian known for her work in television comedies and ensemble casts.
-
C.
Przemysł Hill
Przemysł Hill is a historic elevation in the center of Poznań, Poland, known primarily as the site of the city’s medieval royal castle and a key landmark in its old town.
-
D.
Hill Mada
Hill Mada is an ethnonym referring to a subgroup or community within the Eggon people of central Nigeria.
-
E.
Emma Hill
Emma Hill is a central character in the psychological thriller TV series "The Following," known for her role within the show's cult-driven narrative.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703d7d648190aafe275cd04c47cf |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:06 p.m.