Triple
T24665269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amfilochia |
E610656
|
entity |
| Predicate | populationMunicipalUnit_2011 |
P38055
|
FINISHED |
| Object | about 11000 |
—
|
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: about 11000 | Statement: [Amfilochia, populationMunicipalUnit_2011, about 11000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationMunicipalUnit_2011 Context triple: [Amfilochia, populationMunicipalUnit_2011, about 11000]
-
A.
municipalityPopulation
chosen
Indicates the total number of inhabitants living within a given municipality.
-
B.
populationUnit
Indicates the unit of measurement in which a population quantity is expressed (e.g., individuals, households, families).
-
C.
populationCensus2021
Indicates that a population count or demographic data is recorded as part of the 2021 census.
-
D.
populationCensusUnit
Indicates that a population count or demographic measurement is taken with respect to a specific census-defined unit or area.
-
E.
isUrbanAgglomerationMember
Indicates that an entity is part of, or included within, a larger urban agglomeration area.
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:36 a.m.