Triple
T19078456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Table of Nations |
E466961
|
entity |
| Predicate | mentionsRegion |
P35463
|
FINISHED |
| Object | Babel |
—
|
NE NERFINISHED |
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: Babel | Statement: [Table of Nations, mentionsRegion, Babel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babel Context triple: [Table of Nations, mentionsRegion, Babel]
-
A.
Babel
Babel is a notable work by Japanese dancer and choreographer Yuriko Kikuchi (also known as Yuriko), reflecting her influential contributions to modern dance.
-
B.
Babel
Babel is a surname most famously associated with Isaac Babel, the Russian-Jewish writer known for his innovative short stories and depictions of early Soviet life.
-
C.
Babel
chosen
Babel is the biblical city associated with the Tower of Babel narrative, symbolizing human pride, divine judgment, and the fragmentation of human language and community.
-
D.
Babel
Babel is a 2006 multi-narrative drama film directed by Alejandro González Iñárritu that interweaves interconnected stories across several countries to explore themes of communication, misfortune, and cultural misunderstanding.
-
E.
Babel
Babel is a creative work—likely a literary or artistic piece—associated with and brought to life by Chieko Wataya.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e61b60819092d42614f04a087c |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.