Triple
T20407245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celje |
E500500
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Doboj |
—
|
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: Doboj | Statement: [Celje, hasTwinTown, Doboj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doboj Context triple: [Celje, hasTwinTown, Doboj]
-
A.
Doboj
chosen
Doboj is a city in northern Bosnia and Herzegovina known as a key transport hub and strategic crossroads on the Bosna River.
-
B.
Zrenjanin
Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
-
C.
Zaječar
Zaječar is a city in eastern Serbia known as the nearest urban center to the late Roman imperial palace complex of Gamzigrad (Felix Romuliana).
-
D.
Čačak
Čačak is a city in central Serbia known as an important regional industrial, cultural, and transportation center on the West Morava River.
-
E.
Trebinje
Trebinje is a historic town in southern Bosnia and Herzegovina, known for its Mediterranean climate, Ottoman-era architecture, and scenic location near the border with Croatia and Montenegro.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67993dc7081908ebd54ec92e712ea |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.