Triple
T12872030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zagora |
E307873
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Draa River |
E1028444
|
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: Draa River | Statement: [Zagora, locatedOnRiver, Draa River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Draa River Context triple: [Zagora, locatedOnRiver, Draa River]
-
A.
Draa River
chosen
The Draa River is Morocco’s longest river, flowing through the Atlas Mountains into the Sahara and supporting oases and traditional settlements along its course.
-
B.
Safi River
The Safi River is a significant tributary watercourse that feeds into eastern India’s Damodar River system.
-
C.
Safi River
The Safi River is a watercourse in northwestern Iran that flows through the city of Maragheh in East Azerbaijan Province.
-
D.
Al Raha River
Al Raha River is a lazy river-style water ride at Yas Waterworld in Abu Dhabi, offering a relaxing float through themed surroundings.
-
E.
Barka River
The Barka River is an intermittent river in Eritrea and Sudan that plays a crucial role in the region’s agriculture and has given its name to Eritrea’s Gash-Barka administrative region.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970905784819091631161a9de98c5 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a1a97748190992fe28c6411c4de |
completed | May 3, 2026, 8:40 a.m. |
Created at: April 9, 2026, 5:38 p.m.