Triple

T9599054
Position Surface form Disambiguated ID Type / Status
Subject Polish Corridor E231803 entity
Predicate includedCity P8465 FINISHED
Object Puck E142538 NE 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: Puck | Statement: [Polish Corridor, includedCity, Puck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puck
Context triple: [Polish Corridor, includedCity, Puck]
  • A. Puck
    Puck is the mischievous fairy servant of Oberon in Shakespeare’s *A Midsummer Night’s Dream*, known for causing magical confusion among the human lovers.
  • B. Puck chosen
    Puck is a small historic coastal town in northern Poland on the Baltic Sea, known for its maritime heritage and picturesque harbor.
  • C. Puckman
    Puckman is the ice hockey–themed mascot representing Rensselaer Polytechnic Institute’s athletic teams.
  • D. Hoggle
    Hoggle is a gruff yet ultimately loyal dwarf-like creature from the fantasy film "Labyrinth," who helps guide the protagonist through the maze.
  • E. Nick Bottom
    Nick Bottom is a comically overconfident weaver in Shakespeare's *A Midsummer Night’s Dream* who is famously transformed to have a donkey’s head and becomes the unwitting object of the fairy queen Titania’s enchanted love.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a3819608190b3c280f5e1845f85 completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161a4a7ac81909060a929e5489512 completed April 4, 2026, 7:08 p.m.
Created at: March 30, 2026, 8:07 p.m.