Triple

T7799133
Position Surface form Disambiguated ID Type / Status
Subject Lewiston, Maine E180379 entity
Predicate largestCityRankInMaine P6902 FINISHED
Object second-largest city in Maine 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 Maine | Statement: [Lewiston, Maine, largestCityRankInMaine, second-largest city in Maine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: largestCityRankInMaine
Context triple: [Lewiston, Maine, largestCityRankInMaine, second-largest city in Maine]
  • A. populationRankInMaine chosen
    Indicates the relative position of an entity in terms of population size compared to other entities within the state of Maine.
  • B. largestCity
    Indicates that one city is the most populous or significant urban center within a specified region or entity.
  • C. largestMetropolitanArea
    Indicates that one entity is the largest metropolitan area associated with, contained within, or relevant to another entity, typically by population or spatial extent.
  • D. nearestLargeCityNorth
    Indicates that one city is the closest large city located to the north of another city.
  • E. isLargestCityIn
    Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf78a6d88819093f83528fe88b182 completed March 30, 2026, 10:22 p.m.
PD Predicate disambiguation batch_69cae9111b2481909684a2d4aa4831c2 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:32 p.m.