Triple
T10564057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IPA III |
E249301
|
entity |
| Predicate | beneficiary |
P487
|
FINISHED |
| Object | Kosovo* |
E43081
|
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: Kosovo* | Statement: [IPA III, beneficiary, Kosovo*]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kosovo* Context triple: [IPA III, beneficiary, Kosovo*]
-
A.
Kosovo
chosen
Kosovo is a partially recognized Balkan state that declared independence from Serbia in 2008 and has a majority ethnic Albanian population.
-
B.
Kosovo Vilayet
The Kosovo Vilayet was an administrative division of the Ottoman Empire in the late 19th and early 20th centuries, encompassing much of present-day Kosovo and surrounding regions in the Balkans.
-
C.
Bosnia and Herzegovina
Bosnia and Herzegovina is a Balkan country in Southeastern Europe known for its complex post-Yugoslav history, diverse cultural and religious heritage, and capital city, Sarajevo.
-
D.
Montenegro
Montenegro is a small Balkan country on the Adriatic Sea, known for its mountainous landscapes, medieval villages, and status as a relatively new independent state in Southeastern Europe.
-
E.
Montenegro
Montenegro is a municipality in Colombia’s Quindío Department, known for its coffee culture and proximity to major attractions in the Coffee Cultural Landscape.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527224b808190b996ae970393f9c3 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9349bb7748190b5afb492e78d1128 |
completed | April 10, 2026, 5:34 p.m. |
Created at: April 6, 2026, 12:36 p.m.