Triple

T14358000
Position Surface form Disambiguated ID Type / Status
Subject Walker Township, Schuylkill County, Pennsylvania E356020 entity
Predicate stateCode P20781 FINISHED
Object PA
PA is the standard two-letter postal abbreviation for the U.S. state of Pennsylvania.
 E71277 NE FINISHED

How this triple was built (4 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: [Walker Township, Schuylkill County, Pennsylvania, stateCode, PA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PA
Context triple: [Walker Township, Schuylkill County, Pennsylvania, stateCode, PA]
  • A. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • B. PA
    PA is the standard abbreviation for the Pakistan Army, the principal land warfare branch of Pakistan's armed forces.
  • C. PA
    PA is the former IATA airline designator for Pan American World Airways, the pioneering and once-dominant U.S. international airline.
  • D. PA
    PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • E. PA
    PA is the official abbreviation for the Philippine Army, the main ground warfare branch of the Armed Forces of the Philippines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PA
Triple: [Walker Township, Schuylkill County, Pennsylvania, stateCode, PA]
Generated description
PA is the standard two-letter postal abbreviation for the U.S. state of Pennsylvania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PA
Target entity description: PA is the standard two-letter postal abbreviation for the U.S. state of Pennsylvania.
  • A. PA chosen
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • B. PA
    PA is the standard abbreviation for the Pakistan Army, the principal land warfare branch of Pakistan's armed forces.
  • C. PA
    PA is the former IATA airline designator for Pan American World Airways, the pioneering and once-dominant U.S. international airline.
  • D. PA
    PA is the official abbreviation for the Philippine Army, the main ground warfare branch of the Armed Forces of the Philippines.
  • E. PA
    PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • F. None of above.

Provenance (5 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f52ca7881908704eef20228aed3 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c48dd408190ac45ad4ca6f610c3 completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd4cf6e6788190a98479ed3b615a4e completed May 8, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69fd4d6dd7c481908f53f8902ee714dd completed May 8, 2026, 2:41 a.m.
Created at: April 10, 2026, 1:15 a.m.