Triple
T14360452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teriade Museum |
E356083
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Varia |
E790729
|
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: Varia | Statement: [Teriade Museum, locatedIn, Varia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varia Context triple: [Teriade Museum, locatedIn, Varia]
-
A.
Varia
chosen
Varia is a village on the island of Lesbos in Greece, known for hosting the Tériade Museum of Modern Art.
-
B.
Vara
Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
-
C.
Vararuci
Vararuci is an ancient Indian scholar and grammarian traditionally credited with important contributions to the study and codification of Prakrit languages.
-
D.
Varekai
Varekai is a Cirque du Soleil touring circus production known for its fantastical forest setting, acrobatic performances, and imaginative storytelling.
-
E.
Variyasi
Variyasi is a figure in Hindu tradition known primarily as the daughter of Nanda, the foster father of Lord Krishna.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f54bfb08190a27c0d12731acec2 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550ca6b88190b76cd486bdd66fdf |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:15 a.m.