Triple
T3391760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States bankruptcy law |
E71435
|
entity |
| Predicate | chapter11Purpose |
P79
|
FINISHED |
| Object | reorganization of businesses |
—
|
LITERAL 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: reorganization of businesses | Statement: [United States bankruptcy law, chapter11Purpose, reorganization of businesses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chapter11Purpose Context triple: [United States bankruptcy law, chapter11Purpose, reorganization of businesses]
-
A.
chapterOn
Indicates that one entity (typically a chapter) is about, discusses, or focuses on the subject represented by another entity.
-
B.
titleIIIPurpose
Indicates that one entity serves as the purpose, objective, or intended function of a Title III–related action, provision, or program in relation to another entity.
-
C.
purpose
chosen
Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
-
D.
titleIIPurpose
Indicates that something states or defines the intended purpose or objective of Title II within a legal or regulatory framework.
-
E.
containsChapter
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
- F. None of above.
Provenance (3 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb850594c81909b6f8a384fc98cb2 |
completed | March 8, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69adadf705608190975423779430cc58 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.