Triple
T3639972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dijla |
E77162
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Greater Zab |
E68122
|
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: Greater Zab | Statement: [Dijla, hasTributary, Greater Zab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greater Zab Context triple: [Dijla, hasTributary, Greater Zab]
-
A.
Greater Zab
chosen
The Greater Zab is a major river in the Middle East that flows through Turkey and Iraq before joining the Tigris.
-
B.
Diyala River
The Diyala River is a significant river in eastern Iraq and western Iran that flows through the Zagros Mountains before joining the Tigris near Baghdad, supporting agriculture and settlements along its course.
-
C.
Bidzhan River
The Bidzhan River is a river in Russia’s Far East that flows through the Jewish Autonomous Oblast and serves as an important local waterway in the region.
-
D.
Murghab River
The Murghab River is a Central Asian river flowing through Afghanistan and Turkmenistan, historically vital for irrigation and the development of oasis settlements such as the city of Mary.
-
E.
Zeravshan River
The Zeravshan River is a major Central Asian waterway flowing through Tajikistan and Uzbekistan, historically vital for irrigation and the development of cities along the Silk Road.
- 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_69b44f2a8a5c8190b84dcf4b4b8a939e |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:24 p.m.