Triple
T28772572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris (department) |
E726449
|
entity |
| Predicate | lawStatusChange |
P114921
|
FINISHED |
| Object | Law of 31 December 1975 on Paris administration |
—
|
NE NERFINISHED |
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: Law of 31 December 1975 on Paris administration | Statement: [Paris (department), lawStatusChange, Law of 31 December 1975 on Paris administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawStatusChange Context triple: [Paris (department), lawStatusChange, Law of 31 December 1975 on Paris administration]
-
A.
legalStatusChangedIn
Indicates that an entity’s legal status was altered or reclassified within a specified jurisdiction, context, or time frame.
-
B.
legalStatusEvent
chosen
Indicates an event or action that changes, establishes, or affects the legal status or standing of an entity.
-
C.
hasLegalChange
Indicates that an entity has undergone or is associated with a modification in its legal status, rights, obligations, or regulatory conditions.
-
D.
legalStatusAfterEvent
Indicates the legal condition or classification an entity has as a result of a specified event or occurrence.
-
E.
legalStatusNote
Indicates a note or comment that provides additional information or clarification about the legal status of something.
- 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:16 a.m.