Triple
T3816322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KONT |
E84263
|
entity |
| Predicate | servesRegionPopulationCategory |
P28241
|
FINISHED |
| Object | large metropolitan region |
—
|
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: large metropolitan region | Statement: [KONT, servesRegionPopulationCategory, large metropolitan region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesRegionPopulationCategory Context triple: [KONT, servesRegionPopulationCategory, large metropolitan region]
-
A.
hasServiceAreaPopulation
chosen
Indicates that an entity has a service area characterized by a specific population size or count.
-
B.
demographicRegion
Indicates that an entity is associated with, belongs to, or is characterized by a particular geographic or administrative region for demographic purposes.
-
C.
populationRegion
Indicates that a specified population is located within or associated with a particular geographic region.
-
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.
hasPopulationRankInRegion
Indicates that an entity has a specific population-based rank or position within a defined geographic 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7482d708190a3ec74745b102a4c |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.