Triple

T13105261
Position Surface form Disambiguated ID Type / Status
Subject SAM.gov E310827 entity
Predicate replaced P101 FINISHED
Object EPLS
EPLS (Excluded Parties List System) was a U.S. government database that listed individuals and entities barred from receiving federal contracts, grants, or other forms of federal assistance.
 E1023338 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: EPLS | Statement: [SAM.gov, replaced, EPLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EPLS
Context triple: [SAM.gov, replaced, EPLS]
  • A. EPLB
    EPLB is the ICAO airport code for Lublin Airport, a commercial airport serving the city of Lublin in eastern Poland.
  • B. ELP
    ELP is the three-letter IATA airport code for El Paso International Airport, a commercial airport serving El Paso, Texas.
  • C. EFLP
    EFLP is the ICAO airport code for Lappeenranta Airport in Lappeenranta, Finland.
  • D. ELPA
    ELPA (Emacs Lisp Package Archive) is a primary repository and distribution system for Emacs Lisp packages used to extend and customize the Emacs editor.
  • E. EPLL
    EPLL is the ICAO airport code for Łódź Władysław Reymont Airport in Łódź, Poland.
  • 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: EPLS
Triple: [SAM.gov, replaced, EPLS]
Generated description
EPLS (Excluded Parties List System) was a U.S. government database that listed individuals and entities barred from receiving federal contracts, grants, or other forms of federal assistance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EPLS
Target entity description: EPLS (Excluded Parties List System) was a U.S. government database that listed individuals and entities barred from receiving federal contracts, grants, or other forms of federal assistance.
  • A. EPLB
    EPLB is the ICAO airport code for Lublin Airport, a commercial airport serving the city of Lublin in eastern Poland.
  • B. ELP
    ELP is the three-letter IATA airport code for El Paso International Airport, a commercial airport serving El Paso, Texas.
  • C. EFLP
    EFLP is the ICAO airport code for Lappeenranta Airport in Lappeenranta, Finland.
  • D. ELPA
    ELPA (Emacs Lisp Package Archive) is a primary repository and distribution system for Emacs Lisp packages used to extend and customize the Emacs editor.
  • E. EPLL
    EPLL is the ICAO airport code for Łódź Władysław Reymont Airport in Łódź, Poland.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98154c9f48190aeca779d97151759 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27a325c8190a5c0f1a582340078 completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e6a8b15081908d80cd63b0c423f6 completed May 3, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_69f6e7490cc48190b596338cd3a0fd22 completed May 3, 2026, 6:12 a.m.
Created at: April 9, 2026, 9:05 p.m.