Triple

T37147115
Position Surface form Disambiguated ID Type / Status
Subject French invasion of Catalonia in 1285 E920269 entity
Predicate supportedBy P67 FINISHED
Object Philip I of Navarre
Philip I of Navarre was a 13th-century king of Navarre and count of Évreux, a Capetian prince active in the dynastic and military politics of medieval France and the western Pyrenees.
E2215578 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: Philip I of Navarre | Statement: [French invasion of Catalonia in 1285, supportedBy, Philip I of Navarre]
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: Philip I of Navarre
Triple: [French invasion of Catalonia in 1285, supportedBy, Philip I of Navarre]
Generated description
Philip I of Navarre was a 13th-century king of Navarre and count of Évreux, a Capetian prince active in the dynastic and military politics of medieval France and the western Pyrenees.

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_69f76e9f87c08190b4c8f7fafbd8345a completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb30899618819098b0826c4a544bef completed May 6, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a402bac4e2c8190885d9fca3b330049 completed June 27, 2026, 7:59 p.m.
NEDg Description generation batch_6a402c5380008190b33806706655f030 completed June 27, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_6a402e678e10819081e8b6b5bf2f233d completed June 27, 2026, 8:11 p.m.
Created at: May 3, 2026, 4:15 p.m.