Triple
T26133892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pusat Pengelolaan Komplek Gelora Bung Karno |
E659321
|
entity |
| Predicate | hasJurisdictionOver |
P808
|
FINISHED |
| Object |
Gelora Bung Karno sports complex
Gelora Bung Karno sports complex is a major multi-purpose sports and entertainment venue in Jakarta, Indonesia, best known for hosting national and international sporting events, including the Asian Games.
|
E1725369
|
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: Gelora Bung Karno sports complex | Statement: [Pusat Pengelolaan Komplek Gelora Bung Karno, hasJurisdictionOver, Gelora Bung Karno sports complex]
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: Gelora Bung Karno sports complex Triple: [Pusat Pengelolaan Komplek Gelora Bung Karno, hasJurisdictionOver, Gelora Bung Karno sports complex]
Generated description
Gelora Bung Karno sports complex is a major multi-purpose sports and entertainment venue in Jakarta, Indonesia, best known for hosting national and international sporting events, including the Asian Games.
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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60b950b1881909accde0c8547369f |
completed | May 2, 2026, 2:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11ae995fb481908eefe8e9a6899309 |
completed | May 23, 2026, 1:41 p.m. |
| NEDg | Description generation | batch_6a11b01df9348190a991161aa1fb8018 |
completed | May 23, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11b1230c148190931c49c9df40caa4 |
completed | May 23, 2026, 1:52 p.m. |
Created at: April 26, 2026, 8:16 p.m.