Triple

T1855631
Position Surface form Disambiguated ID Type / Status
Subject Frederick, Maryland E41694 entity
Predicate populationRankInMaryland P33615 FINISHED
Object second-largest city in Maryland 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: second-largest city in Maryland | Statement: [Frederick, Maryland, populationRankInMaryland, second-largest city in Maryland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationRankInMaryland
Context triple: [Frederick, Maryland, populationRankInMaryland, second-largest city in Maryland]
  • A. populationRankInMassachusetts
    Indicates the relative position of an entity in terms of its population size compared to other entities within Massachusetts.
  • B. populationRankInMaine
    Indicates the relative position of an entity in terms of population size compared to other entities within the state of Maine.
  • C. populationRankInVirginia
    Indicates the relative position of an entity in terms of population size compared to other entities within Virginia.
  • D. populationRankInCounty
    Indicates the relative position of an entity in terms of population size compared to other entities within the same county.
  • E. populationRankInMissouri
    Indicates the relative position of an entity in terms of population size compared to other entities within the state of Missouri.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb231de14819091da3a20ed03c430 completed March 7, 2026, 5:05 a.m.
PD Predicate disambiguation batch_69abafde4598819099d8229128348fd3 completed March 7, 2026, 4:55 a.m.
PDg Predicate description generation batch_69abb22f36f08190abf5e295ddf310d7 completed March 7, 2026, 5:05 a.m.
Created at: March 4, 2026, 7:33 p.m.