Triple
T25979885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tripolis (region of three cities) |
E646037
|
entity |
| Predicate | urbanCentersCount |
P160310
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Tripolis (region of three cities), urbanCentersCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanCentersCount Context triple: [Tripolis (region of three cities), urbanCentersCount, 3]
-
A.
hasCentralCities
Indicates that an entity is associated with one or more cities that serve as its primary or central urban locations.
-
B.
modernPopulationCenters
Indicates that the related entities are contemporary, significant population hubs where large numbers of people currently live and concentrate.
-
C.
majorPopulationCenter
Indicates that a location functions as a primary hub of population concentration and activity within a region.
-
D.
capitalOrMajorCenter
Indicates that a location serves as a capital city or a primary major center (political, economic, or cultural hub) for a larger region or entity.
-
E.
notablePopulationCenter
Indicates that a location is recognized as a significant or prominent center of population within a given area or context.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6050e507881909e3bc0c33e8a8c7e |
completed | May 2, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 22, 2026, 8:54 a.m.