Triple
T743650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | founding of the Republic of Turkey |
E15294
|
entity |
| Predicate | principleEmphasized |
P9935
|
FINISHED |
| Object | secularism |
—
|
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: secularism | Statement: [founding of the Republic of Turkey, principleEmphasized, secularism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: principleEmphasized Context triple: [founding of the Republic of Turkey, principleEmphasized, secularism]
-
A.
establishesPrinciple
Indicates that an entity formulates, defines, or sets forth a foundational rule, guideline, or standard that others are expected to follow or build upon.
-
B.
typeOfPrinciples
Indicates a relationship where one entity specifies the kind or category of principles that another entity embodies, uses, or is governed by.
-
C.
usesPrinciple
Indicates that one entity applies, relies on, or is based upon a particular principle in its functioning, reasoning, or design.
-
D.
strategyEmphasis
Indicates an entity’s primary focus or priority within a broader strategy or plan.
-
E.
supportsPrinciple
chosen
Indicates that one entity endorses, upholds, or actively backs a particular principle or doctrine.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a610ba9881908b4e5e7dcc6ed0f5 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fdaaf48190985f62acfc069508 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.