Triple
T4416033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego Padres |
E94974
|
entity |
| Predicate | homeCityPopulationRankInUS |
P520
|
FINISHED |
| Object | among largest cities in the United States |
—
|
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: among largest cities in the United States | Statement: [San Diego Padres, homeCityPopulationRankInUS, among largest cities in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeCityPopulationRankInUS Context triple: [San Diego Padres, homeCityPopulationRankInUS, among largest cities in the United States]
-
A.
rankByPopulationInUS
Indicates the relative ordering of entities based on the size of their populations within the United States.
-
B.
rankByPopulationInUnitedStates
chosen
Indicates the relative ordering of entities based on their population size within the United States.
-
C.
areaRankInUS
Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
-
D.
hasPopulationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551afb448190a2ce2000193808ac |
completed | March 13, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.