Triple
T17941789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamidian Era |
E448603
|
entity |
| Predicate | demographicsIssue |
P21033
|
FINISHED |
| Object | ethno-religious tensions |
—
|
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: ethno-religious tensions | Statement: [Hamidian Era, demographicsIssue, ethno-religious tensions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicsIssue Context triple: [Hamidian Era, demographicsIssue, ethno-religious tensions]
-
A.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
B.
demographicChallenge
chosen
Indicates a situation where population trends (such as aging, low birth rates, or migration patterns) create significant social, economic, or policy pressures that must be addressed.
-
C.
demographicImpact
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
D.
demographicsIn
Indicates that demographic information is associated with or applies within a specified geographic or organizational area.
-
E.
demographicsNote
Indicates that there is an associated note or commentary describing demographic-related information about an entity.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad96a9008190867fac99588c43cf |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.