Triple
T20539632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fizi Territory |
E504292
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Fizi |
—
|
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: Fizi | Statement: [Fizi Territory, hasAdministrativeCenter, Fizi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fizi Context triple: [Fizi Territory, hasAdministrativeCenter, Fizi]
-
A.
Fizi
chosen
Fizi is a town in eastern Democratic Republic of the Congo known as an early stronghold of Laurent-Désiré Kabila’s rebel movement.
-
B.
Fizir
Fizir is a Croatian surname most notably associated with Rudolf Fizir, an early 20th-century aircraft designer and aviation pioneer.
-
C.
Fyli
Fyli is a town in the northwestern part of the Athens metropolitan area in Greece, situated at the foothills of Mount Parnitha.
-
D.
Fata
Fata are the Roman personifications of fate, equivalent to the Parcae, who determine the destinies and lifespans of humans and gods.
-
E.
Fima
Fima is a novel by Israeli author Amos Oz that portrays the introspective, often comic life of a failed poet and political idealist in Jerusalem.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a290bd8c819091988f511fb5820b |
completed | April 20, 2026, 10:02 p.m. |
Created at: April 16, 2026, 11:37 a.m.