Triple
T4968740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebekka Vaark |
E111590
|
entity |
| Predicate | relationshipWith |
P10260
|
FINISHED |
| Object | Florens |
E109667
|
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: Florens | Statement: [Rebekka Vaark, relationshipWith, Florens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florens Context triple: [Rebekka Vaark, relationshipWith, Florens]
-
A.
Florens
chosen
Florens is a young enslaved girl and central narrator in Toni Morrison’s novel "A Mercy," whose perspective reveals the brutal realities of early colonial America.
-
B.
Florenc
Florenc is a major interchange station on the Prague Metro, serving as a key hub connecting multiple lines and the nearby central bus terminal.
-
C.
Fages
Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
-
D.
Florac
Florac is a small historic town in southern France that serves as a gateway to the Cévennes National Park and the surrounding mountainous countryside.
-
E.
Delphine
Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7210c8f081908e36595a12d07f64 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81f749fc8190ad4dc68f7e2086b1 |
completed | March 21, 2026, 11:33 a.m. |
Created at: March 20, 2026, 1:32 p.m.