Triple
T30351864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNCITRAL Working Group V |
E772015
|
entity |
| Predicate | worksOn |
P3
|
FINISHED |
| Object |
UNCITRAL Model Law on Recognition and Enforcement of Insolvency‑Related Judgments
The UNCITRAL Model Law on Recognition and Enforcement of Insolvency‑Related Judgments is an international legal framework designed to facilitate cross‑border recognition and enforcement of court decisions arising from insolvency proceedings, thereby promoting legal certainty and efficient resolution of multinational insolvencies.
|
E1915426
|
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: UNCITRAL Model Law on Recognition and Enforcement of Insolvency‑Related Judgments | Statement: [UNCITRAL Working Group V, worksOn, UNCITRAL Model Law on Recognition and Enforcement of Insolvency‑Related Judgments]
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: UNCITRAL Model Law on Recognition and Enforcement of Insolvency‑Related Judgments Triple: [UNCITRAL Working Group V, worksOn, UNCITRAL Model Law on Recognition and Enforcement of Insolvency‑Related Judgments]
Generated description
The UNCITRAL Model Law on Recognition and Enforcement of Insolvency‑Related Judgments is an international legal framework designed to facilitate cross‑border recognition and enforcement of court decisions arising from insolvency proceedings, thereby promoting legal certainty and efficient resolution of multinational insolvencies.
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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6823af4a4819095c725800c2be63e |
completed | May 2, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2798a315248190ae4039e6310f8213 |
completed | June 9, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_6a279ab9704c8190b5d306c849f50a18 |
completed | June 9, 2026, 4:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a279b4a8fbc81909bc00f7c9beccd35 |
completed | June 9, 2026, 4:49 a.m. |
Created at: April 29, 2026, 7:56 p.m.