Triple

T27292867
Position Surface form Disambiguated ID Type / Status
Subject Baldwin IV, Count of Flanders E688676 entity
Predicate title P38 FINISHED
Object Margrave of Valenciennes
The Margrave of Valenciennes was a medieval noble title associated with the frontier lordship centered on the town of Valenciennes in the County of Hainaut, held by prominent regional rulers such as Baldwin IV of Flanders.
E1772659 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: Margrave of Valenciennes | Statement: [Baldwin IV, Count of Flanders, title, Margrave of Valenciennes]
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: Margrave of Valenciennes
Triple: [Baldwin IV, Count of Flanders, title, Margrave of Valenciennes]
Generated description
The Margrave of Valenciennes was a medieval noble title associated with the frontier lordship centered on the town of Valenciennes in the County of Hainaut, held by prominent regional rulers such as Baldwin IV of Flanders.

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_69ef355a96308190a2bed991525fb278 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6275afc848190a0b321716814673e completed May 2, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b228ee1c8190931374c07c136559 completed May 24, 2026, 8:09 a.m.
NEDg Description generation batch_6a12b34db36c81908d6f05b3e610013a completed May 24, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_6a12b42bd380819087489bdeb2dbfab7 completed May 24, 2026, 8:17 a.m.
Created at: April 27, 2026, 11:16 a.m.