Triple
T3639975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dijla |
E77162
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Adhaim River |
E117304
|
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: Adhaim River | Statement: [Dijla, hasTributary, Adhaim River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adhaim River Context triple: [Dijla, hasTributary, Adhaim River]
-
A.
Adhaim River
chosen
The Adhaim River is a significant river in Iraq that flows through the northeastern part of the country before joining the Tigris.
-
B.
Alingar River
The Alingar River is a significant river in eastern Afghanistan that flows through mountainous regions including Nuristan Province, supporting local agriculture and settlements along its course.
-
C.
Imnaha River
The Imnaha River is a remote, scenic river in northeastern Oregon known for its rugged canyon landscapes and contributions to the Snake River watershed.
-
D.
Shashe River
The Shashe River is a significant watercourse in southern Africa that flows through Botswana and Zimbabwe before joining the Limpopo River.
-
E.
Dahan River
The Dahan River is a major river in northern Taiwan that flows through Taoyuan and New Taipei City, playing a key role in regional water supply, agriculture, and flood control.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc32b83188190bfc0ed4dc8f66730 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e3777eac81908880498eaa6c1046 |
completed | March 27, 2026, 1:55 a.m. |
Created at: March 8, 2026, 3:24 p.m.