Triple
T3938798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Managua |
E90980
|
entity |
| Predicate | primaryCityPopulationOrder |
P1026
|
FINISHED |
| Object | largest city in Nicaragua |
—
|
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: largest city in Nicaragua | Statement: [America/Managua, primaryCityPopulationOrder, largest city in Nicaragua]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCityPopulationOrder Context triple: [America/Managua, primaryCityPopulationOrder, largest city in Nicaragua]
-
A.
cityPopulationContext
Indicates the contextual relationship between a city and information about its population, such as size, distribution, or demographic characteristics.
-
B.
hasPopulationRank
chosen
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
C.
majorPopulationIn
Indicates that a significant portion of a population is located in or primarily associated with a particular place or region.
-
D.
majorPopulationCenter
Indicates that a location functions as a primary hub of population concentration and activity within a region.
-
E.
populationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfb12b88190a6ca6574b1aadb6e |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:24 p.m.