Triple
T868962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helios |
E18767
|
entity |
| Predicate | equatedWith |
P6530
|
FINISHED |
| Object | Sol |
E19953
|
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: [Helios, equatedWith, Sol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sol Context triple: [Helios, equatedWith, Sol]
-
A.
Sol
chosen
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.
Sal
Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
-
C.
Sam
Sam is a person whose given name is Sam.
-
D.
Sid
Sid is a minor character in Mark Twain's novel "The Adventures of Tom Sawyer," known as Tom's well-behaved, tattletale half-brother who often contrasts Tom's mischievous nature.
-
E.
Sen
Sen is a common Indian surname, particularly prevalent among Bengali communities and associated with numerous notable figures in academia, arts, and public life.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2b8063081909566c404ca63a29e |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3c9e7ec819081d58634fe0efdcb |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:39 p.m.