Triple
T9538708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morges |
E230089
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Prijedor |
E327040
|
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: Prijedor | Statement: [Morges, hasTwinTown, Prijedor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prijedor Context triple: [Morges, hasTwinTown, Prijedor]
-
A.
Prijedor
chosen
Prijedor is a city in northwestern Bosnia and Herzegovina known for its industrial heritage and its significant role and tragic events during the Bosnian War.
-
B.
Prokuplje
Prokuplje is a town and municipality in southern Serbia known for its historical heritage and agricultural surroundings.
-
C.
Đakovo
Đakovo is a historic town in eastern Croatia renowned for its cathedral, cultural heritage, and role as a regional center in Slavonia.
-
D.
Prijepolje
Prijepolje is a town in southwestern Serbia near the border with Montenegro, known for its multicultural heritage and scenic location along the Lim River.
-
E.
Zrenjanin
Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98cfead8819089a8f47ea83500a4 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c5684308190a9cb2942f7d2f2b0 |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:01 p.m.