Triple
T28399304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Council of Museums |
E719359
|
entity |
| Predicate | codeOfEthicsRevised |
P165152
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [International Council of Museums, codeOfEthicsRevised, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeOfEthicsRevised Context triple: [International Council of Museums, codeOfEthicsRevised, 2004]
-
A.
codeOfEthicsFirstAdopted
Indicates the point in time when an entity initially adopted its formal code of ethics.
-
B.
ethicalPrinciples
Indicates a relationship where certain actions, decisions, or agents are governed, guided, or constrained by specified ethical rules, norms, or moral standards.
-
C.
hasEthicalStandard
Indicates that an entity adheres to, follows, or is governed by a specified set of ethical principles or standards.
-
D.
typeOfEthics
Indicates a relationship where one concept specifies the particular kind or category of ethics that another concept belongs to or is governed by.
-
E.
functionInEthics
Indicates that something serves a particular role, purpose, or contribution within the domain of ethics or ethical theory.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 28, 2026, 1:19 a.m.