Triple
T1047160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munch Museum |
E22607
|
entity |
| Predicate | collectionIncludes |
P1393
|
FINISHED |
| Object | The Sun |
E65839
|
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: The Sun | Statement: [Munch Museum, collectionIncludes, The Sun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Sun Context triple: [Munch Museum, collectionIncludes, The Sun]
-
A.
The Sun
chosen
The Sun is a British tabloid newspaper known for its sensationalist journalism, celebrity gossip, and large circulation.
-
B.
Sun
The Sun is the massive, luminous star at the center of our solar system that provides the light and heat necessary for life on Earth.
-
C.
Surya
Surya is the Hindu sun god revered as a major solar deity associated with light, power, and vitality.
-
D.
Inti
Inti is the Incan sun god, revered as a principal deity associated with royal power, agriculture, and the cosmic order.
-
E.
Stora Alvaret
Stora Alvaret is a vast limestone karst plain on the Swedish island of Öland, renowned for its unique, sparsely vegetated landscape and rich biodiversity, and recognized as a UNESCO World Heritage Site.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b84d30888190b66f7245d781957d |
completed | March 1, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5999d30881909bc9e2d8528b1b56 |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:42 p.m.