Triple
T13888345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judicial and Public Department |
E333905
|
entity |
| Predicate | archivesSeries |
P61960
|
FINISHED |
| Object | L/PJ |
—
|
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: L/PJ | Statement: [Judicial and Public Department, archivesSeries, L/PJ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archivesSeries Context triple: [Judicial and Public Department, archivesSeries, L/PJ]
-
A.
seriesBy
Indicates that one entity is the creator, author, or originator of a series to which the other entity belongs.
-
B.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
C.
awardSeries
Indicates that one award is part of, or belongs to, a broader series of related awards.
-
D.
archivesFocus
chosen
Indicates that one entity preserves or stores another entity as a primary subject or area of concentration for future reference or use.
-
E.
mainSeries
Indicates that one creative work is the primary or canonical series to which another related work (such as a spin-off, side story, or adaptation) belongs.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a281e481908a6184bcd7f59c03 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:15 p.m.