Triple
T3468261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnesia |
E73188
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Magnetes |
E82830
|
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: Magnetes | Statement: [Magnesia, ethnicGroup, Magnetes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magnetes Context triple: [Magnesia, ethnicGroup, Magnetes]
-
A.
Magnetes
chosen
Magnetes were an ancient Greek tribe from the region of Magnesia in Thessaly, known from myth and history as participants in wider Hellenic religious and political affairs.
-
B.
Nedmag
Nedmag is a Dutch company specializing in the production of high-quality magnesium salts and related mineral products.
-
C.
Dwele
Dwele is an American R&B and neo-soul singer, songwriter, and record producer known for his smooth vocals and collaborations with artists across hip-hop and soul.
-
D.
Muster
Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
-
E.
The Esses
The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb11ec5881908347bf92883a25ee |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373aeade48190958e7e09b856cede |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:17 p.m.