Triple
T32582735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cross of the Order of Leopold |
E832832
|
entity |
| Predicate | hasOrderDivision |
P195361
|
FINISHED |
| Object | civil division |
—
|
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: civil division | Statement: [Grand Cross of the Order of Leopold, hasOrderDivision, civil division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrderDivision Context triple: [Grand Cross of the Order of Leopold, hasOrderDivision, civil division]
-
A.
hasOrder
Indicates that one entity possesses, is associated with, or is characterized by a specific order, sequence, or arrangement relative to others.
-
B.
hasDivisionCode
Indicates that an entity is associated with a specific division identifier or code within an organizational or classification structure.
-
C.
hasDivisionRule
Indicates that one entity is governed, organized, or separated according to a specified rule or method of division defined by another entity.
-
D.
containsDivision
Indicates that one entity includes or encompasses a subdivision or internal division of another entity.
-
E.
hasShowDivision
Indicates that one entity is divided into or organized by another entity for the purpose of presenting or structuring a show or performance.
- 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_69f349289adc81909f4374a58ec35a39 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69fdbc5da9988190b95234bce4cc2062 |
completed | May 8, 2026, 10:35 a.m. |
Created at: May 1, 2026, 1:04 a.m.