Triple
T3158737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuevo sol |
E66052
|
entity |
| Predicate | renamedAs |
P65
|
FINISHED |
| Object | sol |
E131961
|
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: sol | Statement: [Nuevo sol, renamedAs, sol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sol Context triple: [Nuevo sol, renamedAs, sol]
-
A.
Sol
Sol is the Sun, the G-type main-sequence star at the center of our solar system that provides Earth with light and heat.
-
B.
Sol
chosen
Sol is a Mexican-style pale lager beer brand known for its light, refreshing taste and wide international distribution.
-
C.
Sol
Sol is the first name of Sol C. Siegel, an American film producer known for his work in Hollywood during the mid-20th century.
-
D.
SolO
SolO is the European Space Agency’s Solar Orbiter spacecraft designed to study the Sun up close, including its poles and heliosphere, to better understand solar activity and its effects on the solar system.
-
E.
SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5ed82a08190a1bdcf18ee593c79 |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2250a682c8190b01e949f27d6932e |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.