Triple

T13443799
Position Surface form Disambiguated ID Type / Status
Subject Polish Academy of Sciences E320429 entity
Predicate abbreviation P43 FINISHED
Object PAN
PAN is the Polish Academy of Sciences, a leading national institution that coordinates and conducts advanced scientific research in Poland.
 E1041757 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: PAN | Statement: [Polish Academy of Sciences, abbreviation, PAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PAN
Context triple: [Polish Academy of Sciences, abbreviation, PAN]
  • A. PAN
    PAN is the vehicle registration code assigned to the district of Rottal-Inn in Bavaria, Germany, which includes the town of Simbach am Inn.
  • B. PAN
    PAN is an experimental music project known for its dark, atmospheric sound and collaboration with electronic producer The Haxan Cloak.
  • C. PANC
    PANC is the ICAO airport code for Ted Stevens Anchorage International Airport, a major cargo and passenger hub in Anchorage, Alaska.
  • D. PANI
    PANI is the ICAO airport code for Aniak Airport in Aniak, Alaska.
  • E. PANRG
    PANRG is an IRTF research group focused on exploring and developing architectures and mechanisms for path-aware networking on the Internet.
  • 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: PAN
Triple: [Polish Academy of Sciences, abbreviation, PAN]
Generated description
PAN is the Polish Academy of Sciences, a leading national institution that coordinates and conducts advanced scientific research in Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PAN
Target entity description: PAN is the Polish Academy of Sciences, a leading national institution that coordinates and conducts advanced scientific research in Poland.
  • A. PAN
    PAN is the vehicle registration code assigned to the district of Rottal-Inn in Bavaria, Germany, which includes the town of Simbach am Inn.
  • B. PAN
    PAN is an experimental music project known for its dark, atmospheric sound and collaboration with electronic producer The Haxan Cloak.
  • C. PANC
    PANC is the ICAO airport code for Ted Stevens Anchorage International Airport, a major cargo and passenger hub in Anchorage, Alaska.
  • D. PANI
    PANI is the ICAO airport code for Aniak Airport in Aniak, Alaska.
  • E. PANRG
    PANRG is an IRTF research group focused on exploring and developing architectures and mechanisms for path-aware networking on the Internet.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee881888190811ddf01bc699864 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739965ef081909e85881ce805bbb5 completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f740e536d48190af369b38aa42438d completed May 3, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_69f741b72d08819087808bf9bcffa0a1 completed May 3, 2026, 12:38 p.m.
Created at: April 9, 2026, 9:40 p.m.