Triple
T4206023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susa |
E86185
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Dez River
Dez River is a significant river in southwestern Iran that flows through the Khuzestan region and historically supported ancient cities such as Susa.
|
E680528
|
NE FINISHED |
How this triple was built (4 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: Dez River | Statement: [Susa, locatedNear, Dez River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dez River Context triple: [Susa, locatedNear, Dez River]
-
A.
Seim River
The Seim River is a major tributary of the Desna River in Eastern Europe, flowing through parts of Russia and northern Ukraine.
-
B.
Yeso River
The Yeso River is a significant Andean watercourse in central Chile that feeds into the Maipo River and helps supply water to the Santiago metropolitan region.
-
C.
Lotru River
The Lotru River is a mountain river in Romania that flows through the Southern Carpathians and is known for its hydroelectric developments and scenic valley.
-
D.
Tecka River
The Tecka River is a Patagonian watercourse in Argentina that feeds into the larger Chubut River system.
-
E.
Lovat River
The Lovat River is a waterway in northwestern Russia that flows through the Novgorod region before emptying into Lake Ilmen.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dez River Triple: [Susa, locatedNear, Dez River]
Generated description
Dez River is a significant river in southwestern Iran that flows through the Khuzestan region and historically supported ancient cities such as Susa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dez River Target entity description: Dez River is a significant river in southwestern Iran that flows through the Khuzestan region and historically supported ancient cities such as Susa.
-
A.
Seim River
The Seim River is a major tributary of the Desna River in Eastern Europe, flowing through parts of Russia and northern Ukraine.
-
B.
Yeso River
The Yeso River is a significant Andean watercourse in central Chile that feeds into the Maipo River and helps supply water to the Santiago metropolitan region.
-
C.
Lotru River
The Lotru River is a mountain river in Romania that flows through the Southern Carpathians and is known for its hydroelectric developments and scenic valley.
-
D.
Tecka River
The Tecka River is a Patagonian watercourse in Argentina that feeds into the larger Chubut River system.
-
E.
Lovat River
The Lovat River is a waterway in northwestern Russia that flows through the Novgorod region before emptying into Lake Ilmen.
- F. None of above. chosen
Provenance (5 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03844314819092639ed7d6ef2c6e |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a1f26d948190b887c4ccc19548cc |
completed | March 29, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69c8a295f4108190ac84575f8fe4b3dc |
completed | March 29, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a2fe5e4c8190b522820fcc5ece93 |
completed | March 29, 2026, 3:56 a.m. |
Created at: March 9, 2026, 3:49 p.m.