Triple
T2171776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1917 Code of Canon Law |
E48440
|
entity |
| Predicate | legalStatusAfter1983 |
P37379
|
FINISHED |
| Object | abrogated as universal law for the Latin Church |
—
|
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: abrogated as universal law for the Latin Church | Statement: [1917 Code of Canon Law, legalStatusAfter1983, abrogated as universal law for the Latin Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAfter1983 Context triple: [1917 Code of Canon Law, legalStatusAfter1983, abrogated as universal law for the Latin Church]
-
A.
legalStatusAfter1792
Indicates the legal status or condition that an entity held after the year 1792.
-
B.
legalStatusClarifiedBy
Indicates that the legal status of something is defined, explained, or resolved by a specific document, decision, or authoritative act.
-
C.
legalStatusModern
Indicates the current legal standing or classification of an entity under contemporary law or regulatory frameworks.
-
D.
statusAfter1934
Indicates the condition or state something has specifically after the year 1934.
-
E.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
- F. None of above. chosen
Provenance (4 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abc153b22481908115e5f582c93f12 |
completed | March 7, 2026, 6:10 a.m. |
Created at: March 4, 2026, 7:45 p.m.