Triple
T29976695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolj County |
E761466
|
entity |
| Predicate | hasLargestUrbanCenter |
P11146
|
FINISHED |
| Object | Craiova |
—
|
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: Craiova | Statement: [Dolj County, hasLargestUrbanCenter, Craiova]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLargestUrbanCenter Context triple: [Dolj County, hasLargestUrbanCenter, Craiova]
-
A.
nearestLargeUrbanArea
Indicates that one entity is the closest major city or large urban center to the other entity.
-
B.
largestUrbanConcentrationIn
chosen
Indicates that an entity represents the biggest or most populous urban area located within a specified geographic region.
-
C.
isLargestCityIn
Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
-
D.
majorUrbanCenterIn
Indicates that a city or metropolitan area functions as a primary or significant urban center within the specified region or administrative unit.
-
E.
majorPopulationCenter
Indicates that a location functions as a primary hub of population concentration and activity within a region.
- 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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: April 29, 2026, 6:33 p.m.