Triple
T33395977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nur Alem |
E855170
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Astana International Financial Centre and Expo legacy district
The Astana International Financial Centre and Expo legacy district is a major business and innovation hub in Astana, Kazakhstan, developed on the former Expo 2017 site and designed to attract international finance, technology, and investment.
|
E2050387
|
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: Astana International Financial Centre and Expo legacy district | Statement: [Nur Alem, partOf, Astana International Financial Centre and Expo legacy district]
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: Astana International Financial Centre and Expo legacy district Triple: [Nur Alem, partOf, Astana International Financial Centre and Expo legacy district]
Generated description
The Astana International Financial Centre and Expo legacy district is a major business and innovation hub in Astana, Kazakhstan, developed on the former Expo 2017 site and designed to attract international finance, technology, and investment.
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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e40d38a88190b24b3571a76e0a75 |
completed | May 3, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3576f3e66c8190995d54139cd62438 |
completed | June 19, 2026, 5:05 p.m. |
| NEDg | Description generation | batch_6a357acf162c8190a97a7b541e178988 |
completed | June 19, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a357b82e8b4819085108a05e662add7 |
completed | June 19, 2026, 5:25 p.m. |
Created at: May 1, 2026, 1:35 a.m.