Triple
T13132092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibn al-Shatir planetary model |
E311987
|
entity |
| Predicate | appliesTo |
P1129
|
FINISHED |
| Object | Saturn |
E23575
|
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: Saturn | Statement: [Ibn al-Shatir planetary model, appliesTo, Saturn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saturn Context triple: [Ibn al-Shatir planetary model, appliesTo, Saturn]
-
A.
Saturn
Saturn was an American automobile manufacturer created by General Motors as a separate, innovative small-car brand aimed at competing with Japanese imports.
-
B.
Saturn
chosen
Saturn is a gas giant planet known for its extensive and prominent ring system, orbiting the Sun as one of the outer planets in our Solar System.
-
C.
Saturn
Saturn is an ancient Roman god primarily associated with agriculture, wealth, and time, and was honored in the festival of Saturnalia.
-
D.
Saturn
Saturn is a Romanian Black Sea seaside resort town in Constanța County, known for its beaches and tourism.
-
E.
Jupiter
Jupiter was a British warship active during the late 18th century, notable for being captured in the naval Battle of Camperdown.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b27a8c81909a92ab7be5d3a7e9 |
completed | April 10, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae08a148190af391d173f25b714 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:08 p.m.