Triple
T4332508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uatsdin |
E97385
|
entity |
| Predicate | hasMajorDeity |
P7648
|
FINISHED |
| Object | Æfsati |
E417313
|
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: Æfsati | Statement: [Uatsdin, hasMajorDeity, Æfsati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Æfsati Context triple: [Uatsdin, hasMajorDeity, Æfsati]
-
A.
Æfsati
chosen
Æfsati is a hunting and wildlife deity in Ossetian folk religion, revered as the protector of hunters and animals in the mountains and forests.
-
B.
Afif
Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
-
C.
Afmadow
Afmadow is a significant town in southern Somalia that serves as one of the main urban centers of the Jubaland region.
-
D.
Afiartis
Afiartis is a coastal area on the Greek island of Karpathos known for its beaches and strong winds that make it popular for windsurfing and other water sports.
-
E.
Afantou
Afantou is a village and seaside resort on the island of Rhodes in Greece, known for its long beach and traditional character.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3563eab24819088add9180af2ce3c |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0a307388190af4cb98b03e9656d |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:13 p.m.