Triple
T30515511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dimili |
E776553
|
entity |
| Predicate | populationCenterRegion |
P183505
|
FINISHED |
| Object | Tunceli Province |
—
|
NE NERFINISHED |
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: Tunceli Province | Statement: [Dimili, populationCenterRegion, Tunceli Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationCenterRegion Context triple: [Dimili, populationCenterRegion, Tunceli Province]
-
A.
politicalCenterRegion
Indicates that a region serves as the primary political center or seat of government for a broader area or jurisdiction.
-
B.
metropolitanRegionCenter
Indicates that one location functions as the central or primary hub of a specified metropolitan region.
-
C.
majorPopulationCenter
Indicates that a location functions as a primary hub of population concentration and activity within a region.
-
D.
modernPopulationCenters
Indicates that the related entities are contemporary, significant population hubs where large numbers of people currently live and concentrate.
-
E.
hasPopulationCenterType
Indicates the classification of a population center by its type, such as city, town, village, or other settlement category.
- F. None of above. chosen
Provenance (4 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7a01efcc08190bba489a9099b8684 |
completed | May 3, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79f477c4c8190a35cb6d87b1dcbd1 |
completed | May 3, 2026, 7:17 p.m. |
Created at: April 29, 2026, 8:16 p.m.