Triple

T20251180
Position Surface form Disambiguated ID Type / Status
Subject Shapiro E498558 entity
Predicate isDerivedFrom P909 FINISHED
Object Shpira
Shpira is a historical variant of the Jewish surname Shapiro, which is associated with families originating from the city of Speyer in Germany.
E1421258 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: Shpira | Statement: [Shapiro, isDerivedFrom, Shpira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shpira
Context triple: [Shapiro, isDerivedFrom, Shpira]
  • A. Mesnali
    Mesnali is a small village in Innlandet county, Norway, situated near Lillehammer and known for its rural setting and proximity to outdoor recreational areas.
  • B. Arrifes
    Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • C. Bahzani
    Bahzani is a town in northern Iraq, traditionally inhabited by Yazidis and other minorities, located near Bashiqa in the Nineveh Governorate.
  • D. Shendi
    Shendi is a historic city in northern Sudan known as a regional commercial center and gateway to nearby ancient Nubian archaeological sites.
  • E. Balkar
    Balkar is a Turkic language spoken primarily by the Balkar people in the North Caucasus region of Russia.
  • 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: Shpira
Triple: [Shapiro, isDerivedFrom, Shpira]
Generated description
Shpira is a historical variant of the Jewish surname Shapiro, which is associated with families originating from the city of Speyer in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shpira
Target entity description: Shpira is a historical variant of the Jewish surname Shapiro, which is associated with families originating from the city of Speyer in Germany.
  • A. Mesnali
    Mesnali is a small village in Innlandet county, Norway, situated near Lillehammer and known for its rural setting and proximity to outdoor recreational areas.
  • B. Arrifes
    Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • C. Bahzani
    Bahzani is a town in northern Iraq, traditionally inhabited by Yazidis and other minorities, located near Bashiqa in the Nineveh Governorate.
  • D. Shendi
    Shendi is a historic city in northern Sudan known as a regional commercial center and gateway to nearby ancient Nubian archaeological sites.
  • E. Balkar
    Balkar is a Turkic language spoken primarily by the Balkar people in the North Caucasus region of Russia.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a8b8488190b344df7a65f59684 completed April 20, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0855262c548190b5f6102b4e6e01a6 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0856ac50e081909c8bc737e4fe6e56 completed May 16, 2026, 11:36 a.m.
NED2 Entity disambiguation (via description) batch_6a085746f2f08190a703a832f5867c7b completed May 16, 2026, 11:38 a.m.
Created at: April 11, 2026, 11:41 p.m.