Triple
T18249279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidirokastro |
E437040
|
entity |
| Predicate | partOfMunicipality |
P21214
|
FINISHED |
| Object | Sintiki |
—
|
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: Sintiki | Statement: [Sidirokastro, partOfMunicipality, Sintiki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sintiki Context triple: [Sidirokastro, partOfMunicipality, Sintiki]
-
A.
Sintiki
chosen
Sintiki is a municipality in the Serres regional unit of Central Macedonia, Greece, known for its rural communities and proximity to the Bulgarian border.
-
B.
Sikma
Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
-
C.
Tinka
Tinka is a literary work by German writer Volker Braun, known for its engagement with socialist themes and critical reflection on East German society.
-
D.
Tinka
Tinka is a fictional character portrayed by Danish actress Gerda Lie Kaas, likely in a Scandinavian film or television production.
-
E.
Synthia
Synthia is a given name, typically used as a creative or modern variant of the name Cynthia.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd7fa3708190baefd8d938d20807 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.