Triple

T24013364
Position Surface form Disambiguated ID Type / Status
Subject Holocaust in Lithuania E594599 entity
Predicate location P40 FINISHED
Object Šiauliai Ghetto
The Šiauliai Ghetto was a World War II Jewish ghetto in the Lithuanian city of Šiauliai, where thousands of Jews were confined, exploited, and largely murdered by Nazi German forces and their collaborators.
E1655667 NE FINISHED

How this triple was built (2 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: Šiauliai Ghetto | Statement: [Holocaust in Lithuania, location, Šiauliai Ghetto]
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: Šiauliai Ghetto
Triple: [Holocaust in Lithuania, location, Šiauliai Ghetto]
Generated description
The Šiauliai Ghetto was a World War II Jewish ghetto in the Lithuanian city of Šiauliai, where thousands of Jews were confined, exploited, and largely murdered by Nazi German forces and their collaborators.

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_69e288bc8f608190ac4af29f0bd1c744 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d59ee0a08190ad1e1bc2dad1dda7 completed April 29, 2026, 9:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1032d5ff3c8190b44acdcb45d665b0 completed May 22, 2026, 10:41 a.m.
NEDg Description generation batch_6a1033ece8248190bc0ee7fa4976848d completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a10348fb55c819087a28d4a7280589c completed May 22, 2026, 10:48 a.m.
Created at: April 17, 2026, 9:41 p.m.