Triple
T5183744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geats |
E116981
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | Götar |
E493759
|
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: Götar | Statement: [Geats, nativeName, Götar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Götar Context triple: [Geats, nativeName, Götar]
-
A.
Gautar
chosen
Gautar is the Old Norse name for the Geats, a North Germanic people historically inhabiting what is now southern Sweden.
-
B.
Gaten
Gaten is the first name of Gaten Matarazzo, an American actor best known for his role as Dustin Henderson on the Netflix series "Stranger Things."
-
C.
Hodal
Hodal is a town in the Indian state of Haryana that forms part of the culturally significant Braj region associated with the legends of Lord Krishna.
-
D.
Givors
Givors is a commune in eastern France located in the Metropolis of Lyon, known historically as an industrial and river-port town on the Rhône.
-
E.
Geirröd
Geirröd is a fearsome giant from Norse mythology, best known for luring the god Thor into a deadly trap in his hall in Jotunheim.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799eb90c8190b738e9478699180f |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefb6eaac8190a34b01c6e30b41dc |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:46 p.m.