Triple
T3276685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diyala River |
E68773
|
entity |
| Predicate | confluenceWithTigris |
P2416
|
FINISHED |
| Object | Southeast of Baghdad |
—
|
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: Southeast of Baghdad | Statement: [Diyala River, confluenceWithTigris, Southeast of Baghdad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confluenceWithTigris Context triple: [Diyala River, confluenceWithTigris, Southeast of Baghdad]
-
A.
riverConfluence
Indicates the location or relationship where two or more rivers or streams join and merge into a single watercourse.
-
B.
locatedAtConfluenceOf
Indicates that something is situated at the meeting point where two or more bodies of water or similar flowing features join together.
-
C.
locatedBetweenRivers
Indicates that something is situated in the area or region bounded or flanked by two rivers.
-
D.
confluenceWith
chosen
Indicates that one entity joins or merges together with another, typically at a shared meeting point.
-
E.
closelyAssociatedRiver
Indicates a river that is geographically or functionally closely connected to the subject, such as flowing nearby, through, or otherwise strongly linked to it.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0128f08819084644f3c8fda2596 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.