Triple
T17159508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serbian Orthodox Church in the Military Frontier |
E416439
|
entity |
| Predicate | associatedWithPopulation |
P51233
|
FINISHED |
| Object | military settlers |
—
|
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: military settlers | Statement: [Serbian Orthodox Church in the Military Frontier, associatedWithPopulation, military settlers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPopulation Context triple: [Serbian Orthodox Church in the Military Frontier, associatedWithPopulation, military settlers]
-
A.
belongsToPopulation
chosen
Indicates that an entity is a member or constituent of a specified population or group.
-
B.
relativePopulation
Indicates the comparative size of one population relative to another, typically expressing how large, small, or proportionate it is.
-
C.
usedByPopulation
Indicates that something is utilized or consumed by a specific population or group of people.
-
D.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
-
E.
hasPopulationType
Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f9103e3881908e76cea1c4880779 |
completed | April 18, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.