Triple
T6860355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stari Grad (Belgrade) |
E158260
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Terazije |
E560498
|
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: Terazije | Statement: [Stari Grad (Belgrade), contains, Terazije]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terazije Context triple: [Stari Grad (Belgrade), contains, Terazije]
-
A.
Terazije
chosen
Terazije is a central and historic square in Belgrade, Serbia, known as a major commercial, cultural, and transport hub of the city.
-
B.
Jérica
Jérica is a historic municipality in the province of Castellón, in Spain’s Valencian Community, known for its medieval architecture and prominent Mudejar-style bell tower.
-
C.
Čukarica
Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
-
D.
Krusevac
Krusevac is a historic city in central Serbia that once served as the medieval capital under Prince Lazar and is now an important regional industrial and cultural center.
-
E.
Loznica
Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8737fac81909fc546ca2bf6a278 |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fe79af081909baacbfd4d5e8f24 |
completed | March 28, 2026, 1:33 a.m. |
Created at: March 27, 2026, 2:21 p.m.