Triple
T16033865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prekaz massacre |
E388916
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Prekaz |
E1185293
|
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: Prekaz | Statement: [Prekaz massacre, location, Prekaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prekaz Context triple: [Prekaz massacre, location, Prekaz]
-
A.
Prekaz
chosen
Prekaz is a village in Kosovo known as the stronghold of Kosovo Liberation Army commander Adem Jashari and the site of a pivotal 1998 battle in the Kosovo War.
-
B.
Prčanj
Prčanj is a historic coastal town in Montenegro known for its Venetian-era architecture and scenic setting along the Bay of Kotor.
-
C.
Nagode
"Nagode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and blend of contemporary and African musical elements.
-
D.
Poganja
Poganja is a minor stream in southwestern Slovenia that serves as one of the tributaries feeding the Dragonja River near the Adriatic coast.
-
E.
Prejmer
Prejmer is a commune in central Romania renowned for its well-preserved fortified church, a UNESCO World Heritage Site.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833a5aa88190a5cc3f82d55f5b62 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf373f548190abfc93aa238b97fd |
completed | May 10, 2026, 12:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.