Triple

T26135131
Position Surface form Disambiguated ID Type / Status
Subject Staniszów E659356 entity
Predicate pre1945Name P159981 FINISHED
Object Stonsdorf
Stonsdorf is the former German name of the village now known as Staniszów in southwestern Poland.
E1710403 NE FINISHED

How this triple was built (3 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: Stonsdorf | Statement: [Staniszów, pre1945Name, Stonsdorf]
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: Stonsdorf
Triple: [Staniszów, pre1945Name, Stonsdorf]
Generated description
Stonsdorf is the former German name of the village now known as Staniszów in southwestern Poland.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pre1945Name
Context triple: [Staniszów, pre1945Name, Stonsdorf]
  • A. countryBefore1940
    Indicates that the specified country existed or was recognized as such prior to the year 1940.
  • B. regionBefore1945
    Indicates that one region existed or was defined in a particular way prior to the year 1945.
  • C. preWarCountry
    Indicates that a country existed or held a particular status prior to a specified war or major armed conflict.
  • D. preColonialNameFor
    Indicates that one name was used for something in the pre-colonial period and refers to the same entity later known by a different (typically colonial or post-colonial) name.
  • E. previousNameOfCountry
    Indicates that one country name was formerly used as the official name of another country.
  • F. None of above. chosen

Provenance (7 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_69ee5bc3c20c8190bf2cf272f4170e95 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f60b96085c81908a43574f4e07e70d completed May 2, 2026, 2:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a112764acb48190b45949a5d16d5234 completed May 23, 2026, 4:04 a.m.
NEDg Description generation batch_6a1134849eac8190a0f80898df1ae20c completed May 23, 2026, 5 a.m.
NED2 Entity disambiguation (via description) batch_6a11350decb88190b61a8491db612650 completed May 23, 2026, 5:03 a.m.
PD Predicate disambiguation batch_69f5b0021da88190bdd4cf2698c23edf completed May 2, 2026, 8:04 a.m.
PDg Predicate description generation batch_69f5f6b32a8881909baa0db57b80d56a completed May 2, 2026, 1:05 p.m.
Created at: April 26, 2026, 8:17 p.m.