Triple

T24289040
Position Surface form Disambiguated ID Type / Status
Subject Gmina Lipnica Murowana E605759 entity
Predicate containsVillage P4011 FINISHED
Object Lipnica Górna
Lipnica Górna is a village in southern Poland, situated in the Lesser Poland Voivodeship within the administrative district of Gmina Lipnica Murowana.
E1641121 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: Lipnica Górna | Statement: [Gmina Lipnica Murowana, containsVillage, Lipnica Górna]
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: Lipnica Górna
Triple: [Gmina Lipnica Murowana, containsVillage, Lipnica Górna]
Generated description
Lipnica Górna is a village in southern Poland, situated in the Lesser Poland Voivodeship within the administrative district of Gmina Lipnica Murowana.

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_69e295480d0c8190846fc3c2e2da1d4c completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28f5908e08190a9f150df924a7160 completed April 29, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff838c57081908f40b3745c282471 completed May 22, 2026, 6:31 a.m.
NEDg Description generation batch_6a0ff956f6e48190950c5bace85c9669 completed May 22, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff9feda34819084e79982606c3972 completed May 22, 2026, 6:38 a.m.
Created at: April 18, 2026, 12:08 a.m.