Triple

T3104539
Position Surface form Disambiguated ID Type / Status
Subject post exchange E64799 entity
Predicate alsoKnownAs P39 FINISHED
Object PX
PX is a retail store on U.S. military installations that sells discounted goods and services to service members, their families, and other authorized patrons.
E327900 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: PX | Statement: [post exchange, alsoKnownAs, PX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PX
Context triple: [post exchange, alsoKnownAs, PX]
  • A. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • B. PJ
    PJ is the commonly used given name of PJ Hyett, an American software developer and co-founder of the code hosting platform GitHub.
  • C. PIX
    PIX (Patient Identifier Cross-referencing) is an IHE IT Infrastructure profile that enables the cross-referencing and sharing of patient identifiers across multiple clinical information systems and institutions.
  • D. PNX
    PNX is the IATA airport code for North Texas Regional Airport, a public airport serving the Sherman–Denison area in Texas, United States.
  • E. PN
    PN is the official abbreviation for the Philippine Navy, the naval 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: PX
Triple: [post exchange, alsoKnownAs, PX]
Generated description
PX is a retail store on U.S. military installations that sells discounted goods and services to service members, their families, and other authorized patrons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PX
Target entity description: PX is a retail store on U.S. military installations that sells discounted goods and services to service members, their families, and other authorized patrons.
  • A. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • B. PJ
    PJ is the commonly used given name of PJ Hyett, an American software developer and co-founder of the code hosting platform GitHub.
  • C. PIX
    PIX (Patient Identifier Cross-referencing) is an IHE IT Infrastructure profile that enables the cross-referencing and sharing of patient identifiers across multiple clinical information systems and institutions.
  • D. PNX
    PNX is the IATA airport code for North Texas Regional Airport, a public airport serving the Sherman–Denison area in Texas, United States.
  • E. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29a90e88190afb8a10291ef1946 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20388b7788190b78b9dd2671214ad completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b204d73a34819099411deeac073b4a completed March 12, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69b208879a408190aaa368c73d096bb3 completed March 12, 2026, 12:27 a.m.
Created at: March 8, 2026, 3:03 p.m.