Triple
T27187594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fener–Balat historic area |
E683379
|
entity |
| Predicate | hasTraditionalPopulation |
P132910
|
FINISHED |
| Object | Greek Orthodox community |
—
|
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: Greek Orthodox community | Statement: [Fener–Balat historic area, hasTraditionalPopulation, Greek Orthodox community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalPopulation Context triple: [Fener–Balat historic area, hasTraditionalPopulation, Greek Orthodox community]
-
A.
hasModernPopulation
Indicates that an entity currently possesses or is associated with a specific present-day human population.
-
B.
containsOldPopulations
chosen
Indicates that one entity includes or encompasses populations that are old or long-established.
-
C.
hasTraditionalArea
Indicates that an entity is associated with or belongs to a customary or historically recognized geographic area.
-
D.
hasPopulationType
Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
-
E.
hasRegisteredPopulation
Indicates that an entity has an officially recorded number of inhabitants in a population registry or census.
- 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_69eefad140408190b8586fdebcf9af46 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 27, 2026, 9:31 a.m.