Triple
T37218376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Pančevo |
E922802
|
entity |
| Predicate | nearbyRiverConfluence |
P8567
|
FINISHED |
| Object | confluence of Tamiš and Danube |
—
|
LITERAL 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: confluence of Tamiš and Danube | Statement: [City of Pančevo, nearbyRiverConfluence, confluence of Tamiš and Danube]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyRiverConfluence Context triple: [City of Pančevo, nearbyRiverConfluence, confluence of Tamiš and Danube]
-
A.
riverTypeNearby
Indicates that one entity is located near a river of a specified type or classification.
-
B.
nearbyRiverProject
Indicates that there is a project located close to or associated with a nearby river.
-
C.
nearbyWatercourse
chosen
Indicates that one entity is located close to or alongside a natural or artificial watercourse, such as a river, stream, or canal.
-
D.
riverConfluence
Indicates the location or relationship where two or more rivers or streams join and merge into a single watercourse.
-
E.
hasRiverConfluenceFunction
Indicates that something serves as a location or feature where two or more rivers meet and merge their flows.
- F. None of above.
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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
Created at: May 3, 2026, 4:15 p.m.