Triple
T2279745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ural River |
E51253
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Oral
Oral is a city in western Kazakhstan near the Russian border, known as a regional center situated along the Ural River.
|
E250763
|
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: Oral | Statement: [Ural River, flowsThrough, Oral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oral Context triple: [Ural River, flowsThrough, Oral]
-
A.
Orations
Orations is a celebrated collection of theological and rhetorical speeches by Gregory of Nazianzus, a 4th-century Church Father and influential Christian theologian.
-
B.
Saliva
Saliva is an American rock band known for its nu metal and hard rock sound, rising to prominence in the early 2000s with hits like "Click Click Boom."
-
C.
Ors
Ors is a small commune in northern France, known for its World War I history and military cemetery.
-
D.
Oral Fixation, Vol. 2
Oral Fixation, Vol. 2 is Shakira’s 2005 English-language pop album featuring the global hit single “Hips Don’t Lie.”
-
E.
Verbal Behavior
Verbal Behavior is B. F. Skinner’s influential book that applies the principles of behaviorism to the analysis and explanation of human language.
- 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: Oral Triple: [Ural River, flowsThrough, Oral]
Generated description
Oral is a city in western Kazakhstan near the Russian border, known as a regional center situated along the Ural River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oral Target entity description: Oral is a city in western Kazakhstan near the Russian border, known as a regional center situated along the Ural River.
-
A.
Orations
Orations is a celebrated collection of theological and rhetorical speeches by Gregory of Nazianzus, a 4th-century Church Father and influential Christian theologian.
-
B.
Saliva
Saliva is an American rock band known for its nu metal and hard rock sound, rising to prominence in the early 2000s with hits like "Click Click Boom."
-
C.
Ors
Ors is a small commune in northern France, known for its World War I history and military cemetery.
-
D.
Oral Fixation, Vol. 2
Oral Fixation, Vol. 2 is Shakira’s 2005 English-language pop album featuring the global hit single “Hips Don’t Lie.”
-
E.
Verbal Behavior
Verbal Behavior is B. F. Skinner’s influential book that applies the principles of behaviorism to the analysis and explanation of human language.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2194150819083156e4dcd45a423 |
completed | March 7, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71e48fb081908498f826167020a2 |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae72bdc5dc81908f475353999161e4 |
completed | March 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae76720e3c8190aeb82dd8779ff715 |
completed | March 9, 2026, 7:27 a.m. |
Created at: March 4, 2026, 7:48 p.m.