Triple

T15919557
Position Surface form Disambiguated ID Type / Status
Subject Lamoral, Count of Egmont E386056 entity
Predicate birthPlace P1 FINISHED
Object La Hamaide
La Hamaide is a village in present-day Belgium known historically as the birthplace of the 16th-century nobleman and general Lamoral, Count of Egmont.
 E1184969 NE FINISHED

How this triple was built (4 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: La Hamaide | Statement: [Lamoral, Count of Egmont, birthPlace, La Hamaide]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Hamaide
Context triple: [Lamoral, Count of Egmont, birthPlace, La Hamaide]
  • A. El Hakimia
    El Hakimia is a town and commune located within Bouira Province in northern Algeria.
  • B. El Tebbin
    El Tebbin is an industrial district in southern Cairo, Egypt, known for its steel and heavy manufacturing facilities.
  • C. El Maasara
    El Maasara is a district and suburban area in the southern part of Greater Cairo, Egypt, known for its residential neighborhoods and industrial zones.
  • D. Mawlaik
    Mawlaik is a town in northwestern Myanmar’s Sagaing Region, situated along the Chindwin River and serving as a local administrative and trading center.
  • E. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: La Hamaide
Triple: [Lamoral, Count of Egmont, birthPlace, La Hamaide]
Generated description
La Hamaide is a village in present-day Belgium known historically as the birthplace of the 16th-century nobleman and general Lamoral, Count of Egmont.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Hamaide
Target entity description: La Hamaide is a village in present-day Belgium known historically as the birthplace of the 16th-century nobleman and general Lamoral, Count of Egmont.
  • A. El Hakimia
    El Hakimia is a town and commune located within Bouira Province in northern Algeria.
  • B. El Tebbin
    El Tebbin is an industrial district in southern Cairo, Egypt, known for its steel and heavy manufacturing facilities.
  • C. El Maasara
    El Maasara is a district and suburban area in the southern part of Greater Cairo, Egypt, known for its residential neighborhoods and industrial zones.
  • D. Mawlaik
    Mawlaik is a town in northwestern Myanmar’s Sagaing Region, situated along the Chindwin River and serving as a local administrative and trading center.
  • E. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • F. None of above. chosen

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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15680c7b881909150f8b53bc058d4 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a79b808190850fa9d327f7ef72 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb677927c8190bd45e7bae5fcf1ed completed May 9, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7468fb88190a56cf1df5bd20f63 completed May 9, 2026, 10:37 p.m.
Created at: April 10, 2026, 4:52 a.m.