Triple

T13707677
Position Surface form Disambiguated ID Type / Status
Subject Bethel Township, Delaware County, Pennsylvania E328683 entity
Predicate hasStateAbbreviation P2461 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: [Bethel Township, Delaware County, Pennsylvania, hasStateAbbreviation, PA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PA
Context triple: [Bethel Township, Delaware County, Pennsylvania, hasStateAbbreviation, 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 provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • 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 former IATA airline designator for Pan American World Airways, the pioneering and once-dominant U.S. international airline.
  • 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: [Bethel Township, Delaware County, Pennsylvania, hasStateAbbreviation, 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad18d48c8190a26be865c31975d6 completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7945d6b9481909cc627883dd24a85 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79523bf608190addeca563bea132e completed May 3, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7965cc9f88190acbf232615a9e87b completed May 3, 2026, 6:39 p.m.
Created at: April 9, 2026, 9:54 p.m.