Triple

T7511530
Position Surface form Disambiguated ID Type / Status
Subject Northeast Philadelphia Airport E177531 entity
Predicate IATA code P2569 FINISHED
Object PNE
PNE is the IATA airport code for Northeast Philadelphia Airport, a public airport serving the northeastern section of Philadelphia, Pennsylvania.
 E669969 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: PNE | Statement: [Northeast Philadelphia Airport, IATA code, PNE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PNE
Context triple: [Northeast Philadelphia Airport, IATA code, PNE]
  • A. PNE
    PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
  • B. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • C. PN
    PN is the vehicle registration code used for the Italian city and province of Pordenone in the Friuli Venezia Giulia region.
  • D. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • E. PE
    PE is the official vehicle registration code for the Brazilian state of Pernambuco.
  • 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: PNE
Triple: [Northeast Philadelphia Airport, IATA code, PNE]
Generated description
PNE is the IATA airport code for Northeast Philadelphia Airport, a public airport serving the northeastern section of Philadelphia, Pennsylvania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PNE
Target entity description: PNE is the IATA airport code for Northeast Philadelphia Airport, a public airport serving the northeastern section of Philadelphia, Pennsylvania.
  • A. PNE
    PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
  • B. PN
    PN is the vehicle registration code used for the Italian city and province of Pordenone in the Friuli Venezia Giulia region.
  • C. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • D. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • E. PE
    PE is the official vehicle registration code for the Brazilian state of Pernambuco.
  • F. None of above. chosen

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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d33960819089a10c1149abf4b2 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84614e8608190b6d683e4402a6275 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c847380f08819082d96a4a8e3143a4 completed March 28, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69c847b5787c81908bfe5b71a1494b54 completed March 28, 2026, 9:27 p.m.
Created at: March 27, 2026, 3:45 p.m.