Triple

T31347508
Position Surface form Disambiguated ID Type / Status
Subject St. Julien, Belgium E799488 entity
Predicate locatedIn P40 FINISHED
Object municipality of Langemark-Poelkapelle
The municipality of Langemark-Poelkapelle is a local government area in West Flanders, Belgium, known for its World War I battlefields, cemeteries, and memorials.
E1958665 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: municipality of Langemark-Poelkapelle | Statement: [St. Julien, Belgium, locatedIn, municipality of Langemark-Poelkapelle]
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: municipality of Langemark-Poelkapelle
Triple: [St. Julien, Belgium, locatedIn, municipality of Langemark-Poelkapelle]
Generated description
The municipality of Langemark-Poelkapelle is a local government area in West Flanders, Belgium, known for its World War I battlefields, cemeteries, and memorials.

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_69f224e51614819083141459a080e97c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69f19a79c81909647d8eef6706e44 completed May 3, 2026, 1:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a721d23008190afd2a10682ab7402 completed June 11, 2026, 8:30 a.m.
NEDg Description generation batch_6a2a72bf3c0c8190825cbabd2097dea6 completed June 11, 2026, 8:33 a.m.
NED2 Entity disambiguation (via description) batch_6a2a95427bf8819087f212d19481feeb completed June 11, 2026, 11 a.m.
Created at: April 29, 2026, 9:17 p.m.