Triple

T17124964
Position Surface form Disambiguated ID Type / Status
Subject Sharpsburg, Pennsylvania E415568 entity
Predicate adjacentTo P224 FINISHED
Object Etna, Pennsylvania E626298 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: Etna, Pennsylvania | Statement: [Sharpsburg, Pennsylvania, adjacentTo, Etna, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etna, Pennsylvania
Context triple: [Sharpsburg, Pennsylvania, adjacentTo, Etna, Pennsylvania]
  • A. Etna, Pennsylvania chosen
    Etna, Pennsylvania is a small borough in Allegheny County near Pittsburgh, historically known as an industrial mill town along the banks of Chartiers Creek.
  • B. Mount Etna, Indiana
    Mount Etna, Indiana is a small rural town located in Huntington County in the northeastern part of the state.
  • C. Etna, Maine
    Etna, Maine is a small rural town in Penobscot County known for its quiet residential character and location along major east–west travel routes in central Maine.
  • D. Mount Gretna, Pennsylvania
    Mount Gretna, Pennsylvania is a small, historic resort and arts community in south-central Pennsylvania known for its Victorian cottages, cultural festivals, and wooded, lakeside setting.
  • E. Etna, New Hampshire
    Etna, New Hampshire is a small village within the town of Hanover known for its rural character and close-knit community.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f025fce481908e261f2e363e14f9 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a12a7288190911c1be2667916c0 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.