Triple
T8623922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyzylorda Region |
E204236
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Aral
Aral is a town in southwestern Kazakhstan historically known as a fishing port on the Aral Sea and a local center for the surrounding steppe region.
|
E747434
|
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: Aral | Statement: [Kyzylorda Region, hasCity, Aral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aral Context triple: [Kyzylorda Region, hasCity, Aral]
-
A.
Aral
Aral is a major German fuel retail and service station brand owned by the energy company BP.
-
B.
Aral
Aral is a city located along the Tarim River in the Xinjiang Uyghur Autonomous Region of western China.
-
C.
Araluen
Araluen is a small rural locality in New South Wales, Australia, historically known for its gold mining and scenic valley landscapes.
-
D.
Araluen
Araluen is an electoral division in the Northern Territory of Australia that includes part of the town of Alice Springs.
-
E.
Tanasi
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
- 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: Aral Triple: [Kyzylorda Region, hasCity, Aral]
Generated description
Aral is a town in southwestern Kazakhstan historically known as a fishing port on the Aral Sea and a local center for the surrounding steppe region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aral Target entity description: Aral is a town in southwestern Kazakhstan historically known as a fishing port on the Aral Sea and a local center for the surrounding steppe region.
-
A.
Aral
Aral is a major German fuel retail and service station brand owned by the energy company BP.
-
B.
Aral
Aral is a city located along the Tarim River in the Xinjiang Uyghur Autonomous Region of western China.
-
C.
Araluen
Araluen is a small rural locality in New South Wales, Australia, historically known for its gold mining and scenic valley landscapes.
-
D.
Araluen
Araluen is an electoral division in the Northern Territory of Australia that includes part of the town of Alice Springs.
-
E.
Tanasi
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4728360c8190b5e600596cbced0c |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbe6a7e48190a166a31dccd8ac16 |
completed | April 2, 2026, 6:56 p.m. |
| NEDg | Description generation | batch_69cebe299de881909dcbb37b2b718201 |
completed | April 2, 2026, 7:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebedb7f0c8190be98ffec07ce6fbc |
completed | April 2, 2026, 7:09 p.m. |
Created at: March 30, 2026, 6:26 p.m.