Triple

T8198552
Position Surface form Disambiguated ID Type / Status
Subject Borough of Hanover E191499 entity
Predicate hasRegionCode P3446 FINISHED
Object PA E71277 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: PA | Statement: [Borough of Hanover, hasRegionCode, PA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PA
Context triple: [Borough of Hanover, hasRegionCode, PA]
  • A. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • B. PA chosen
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • C. PA
    The Palestinian Authority is an interim self-governing body established to administer parts of the West Bank and Gaza Strip as part of the Israeli-Palestinian peace process.
  • D. PA
    PA is the standard abbreviation for the Pakistan Army, the principal land warfare branch of Pakistan's armed forces.
  • E. PA
    PA is the former IATA airline designator for Pan American World Airways, the pioneering and once-dominant U.S. international airline.
  • 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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df426cc81908b676d3d6852e29f completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedbc9840819089255e93d8119350 completed April 1, 2026, 10:04 a.m.
Created at: March 30, 2026, 5:42 p.m.