Triple
T14936780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Máni |
E372415
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Sól |
E1012565
|
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: Sól | Statement: [Máni, relative, Sól]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sól Context triple: [Máni, relative, Sól]
-
A.
Sól
chosen
Sól is the personified sun goddess in Norse mythology, who drives the chariot of the sun across the sky.
-
B.
Sólfar
Sólfar is a famous stainless-steel sculpture in Reykjavík, Iceland, depicting a stylized Viking ship and symbolizing dreams of discovery and freedom.
-
C.
Solnice
Solnice is a small town in the Hradec Králové Region of the Czech Republic, known for its industrial facilities and proximity to the Orlické Mountains.
-
D.
Soline
Soline is a small coastal village on the Croatian island of Krk, known for its tranquil bays and Adriatic seaside setting.
-
E.
Solsidan
Solsidan is a residential area in Saltsjöbaden, Sweden, known for its affluent seaside villas and as the setting of a popular Swedish TV comedy series of the same name.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64904d88190b6b4140da8e8199d |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bd69df481908d8b1a5e6add0a7b |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:37 a.m.