Triple
T17570026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gevgelija |
E427910
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Moin |
—
|
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: Moin | Statement: [Gevgelija, nearbySettlement, Moin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moin Context triple: [Gevgelija, nearbySettlement, Moin]
-
A.
Moin
chosen
Moin is a small settlement located in the Gevgelija region of southeastern North Macedonia, near the border with Greece.
-
B.
MoinMoin
MoinMoin is an open-source, Python-based wiki engine designed for collaborative editing and easy web-based documentation.
-
C.
Salut
"Salut" is a poem included in Arthur Rimbaud’s collection *Poésies*, reflecting his innovative and influential Symbolist style.
-
D.
Salutati
Salutati is an Italian surname most notably associated with Coluccio Salutati, a leading 14th-century humanist and Chancellor of Florence.
-
E.
Ciao
Ciao is an independent drama film by director Yen Tan that explores themes of grief, connection, and unexpected intimacy between two men brought together after a mutual friend's death.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592fe8408190bd8fed1920ab3601 |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.