Triple
T5147337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Liria and Jérica |
E116103
|
entity |
| Predicate | associatedTerritory |
P1103
|
FINISHED |
| Object | Jérica |
E497425
|
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: Jérica | Statement: [Duke of Liria and Jérica, associatedTerritory, Jérica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jérica Context triple: [Duke of Liria and Jérica, associatedTerritory, Jérica]
-
A.
Jérica
chosen
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.
-
B.
Loznica
Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
-
C.
Dravograd
Dravograd is a small Slovenian town in the Carinthia region, known for its location at the confluence of the Drava and Meža rivers and its historical role as a regional center.
-
D.
Čukarica
Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
-
E.
Lazarevac
Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78afc32081909fd4de3dbf31ea3a |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed920e650819097d8b74fe8b8966a |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:43 p.m.