Triple
T7211898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Čukarica |
E149423
|
entity |
| Predicate | hasGreenArea |
P5383
|
FINISHED |
| Object | Ada Ciganlija |
E134985
|
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: Ada Ciganlija | Statement: [Čukarica, hasGreenArea, Ada Ciganlija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ada Ciganlija Context triple: [Čukarica, hasGreenArea, Ada Ciganlija]
-
A.
Ada Ciganlija
chosen
Ada Ciganlija is a popular river island-turned-peninsula and recreational area in Belgrade, known for its beaches, sports facilities, and vibrant leisure activities.
-
B.
Trebjesa
Trebjesa is a small mountain and forested hill area near the city of Nikšić in Montenegro, known for its recreational trails and scenic views.
-
C.
Inter Zaprešić
Inter Zaprešić is a Croatian football club known for being one of the early professional teams in Luka Modrić’s career.
-
D.
Trebižat
Trebižat is a karst river in Bosnia and Herzegovina known for its series of waterfalls and underground passages before joining the Neretva River.
-
E.
Sveta Gora
Sveta Gora is a prominent pilgrimage hill and religious sanctuary in western Slovenia, known for its historic basilica and panoramic views over the Soča Valley and surrounding Alps.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e96f99088190a085476bcfca26fd |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfcec3448190ab29c3742aa167ae |
completed | March 28, 2026, 11:47 a.m. |
Created at: March 27, 2026, 2:53 p.m.