Triple

T10276035
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Political Science and International Studies E240966 entity
Predicate hasAbbreviation P43 FINISHED
Object WNPiSM
WNPiSM is the Polish abbreviation for the Faculty of Political Science and International Studies, an academic unit focused on political science, international relations, and related social sciences.
 E851933 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: WNPiSM | Statement: [Faculty of Political Science and International Studies, hasAbbreviation, WNPiSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WNPiSM
Context triple: [Faculty of Political Science and International Studies, hasAbbreviation, WNPiSM]
  • A. WPN
    WPN is the vehicle registration code assigned to the town of Płońsk in Poland.
  • B. WPN
    WPN is the station code used to identify White Plains station in transportation and scheduling systems.
  • C. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • D. IWP
    IWP is the abbreviation for the International Writing Program, a renowned literary residency and cultural exchange initiative for writers based at the University of Iowa.
  • E. WIMM
    WIMM is the ICAO airport code for Kualanamu International Airport, a major airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • 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: WNPiSM
Triple: [Faculty of Political Science and International Studies, hasAbbreviation, WNPiSM]
Generated description
WNPiSM is the Polish abbreviation for the Faculty of Political Science and International Studies, an academic unit focused on political science, international relations, and related social sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WNPiSM
Target entity description: WNPiSM is the Polish abbreviation for the Faculty of Political Science and International Studies, an academic unit focused on political science, international relations, and related social sciences.
  • A. WPN
    WPN is the vehicle registration code assigned to the town of Płońsk in Poland.
  • B. WPN
    WPN is the station code used to identify White Plains station in transportation and scheduling systems.
  • C. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • D. IWP
    IWP is the abbreviation for the International Writing Program, a renowned literary residency and cultural exchange initiative for writers based at the University of Iowa.
  • E. WIMM
    WIMM is the ICAO airport code for Kualanamu International Airport, a major airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d28b6cd4819084a7a5c1893b5ad8 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f82188588190998e06cad1e15e68 completed April 9, 2026, 12:51 a.m.
NEDg Description generation batch_69d6fcad625881909304201c1ebb3bcb completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd84cd708190816d94417294b52a completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:37 a.m.