Triple

T26597261
Position Surface form Disambiguated ID Type / Status
Subject 3rd Algerian Infantry Division E667522 entity
Predicate notableEngagement P1700 FINISHED
Object Provence landings
The Provence landings were a major Allied amphibious invasion of southern France in August 1944 that helped liberate the region and open a new front against German forces in World War II.
E1732040 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: Provence landings | Statement: [3rd Algerian Infantry Division, notableEngagement, Provence landings]
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: Provence landings
Triple: [3rd Algerian Infantry Division, notableEngagement, Provence landings]
Generated description
The Provence landings were a major Allied amphibious invasion of southern France in August 1944 that helped liberate the region and open a new front against German forces in World War II.

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_69ee9cfc385081909ac9ae178030a06e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6152acd1c8190b2b357c93b2b3d3c completed May 2, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c83f3f288190aed2546950bc946e completed May 23, 2026, 3:31 p.m.
NEDg Description generation batch_6a11c91aa6888190b17f656a39eefd1e completed May 23, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_6a11ca6f162c8190a8c7fbc1e188ea90 completed May 23, 2026, 3:40 p.m.
Created at: April 27, 2026, 2:10 a.m.