Triple

T10411748
Position Surface form Disambiguated ID Type / Status
Subject Aveline de Forz E245406 entity
Predicate associatedPlace P1481 FINISHED
Object Aumale
Aumale is a historic town and former county in Normandy, France, notable for its medieval noble associations.
 E863779 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: Aumale | Statement: [Aveline de Forz, associatedPlace, Aumale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aumale
Context triple: [Aveline de Forz, associatedPlace, Aumale]
  • A. Tahuata
    Tahuata is a small, rugged island in the southern Marquesas archipelago of French Polynesia, known for its traditional Polynesian culture and remote, scenic landscapes.
  • B. Nanaue
    Nanaue is the humanoid shark supervillain and occasional antihero known as King Shark in DC Comics.
  • C. Takutea
    Takutea is an uninhabited coral atoll in the Cook Islands known for its important seabird nesting colonies and traditional conservation practices.
  • D. Kamakou
    Kamakou is a prominent mountain peak on the Hawaiian island of Molokaʻi, known for its lush native rainforest and rich biodiversity.
  • E. Kameari
    Kameari is a neighborhood in Tokyo best known as the long-running setting of the manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
  • 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: Aumale
Triple: [Aveline de Forz, associatedPlace, Aumale]
Generated description
Aumale is a historic town and former county in Normandy, France, notable for its medieval noble associations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aumale
Target entity description: Aumale is a historic town and former county in Normandy, France, notable for its medieval noble associations.
  • A. Tahuata
    Tahuata is a small, rugged island in the southern Marquesas archipelago of French Polynesia, known for its traditional Polynesian culture and remote, scenic landscapes.
  • B. Nanaue
    Nanaue is the humanoid shark supervillain and occasional antihero known as King Shark in DC Comics.
  • C. Takutea
    Takutea is an uninhabited coral atoll in the Cook Islands known for its important seabird nesting colonies and traditional conservation practices.
  • D. Kamakou
    Kamakou is a prominent mountain peak on the Hawaiian island of Molokaʻi, known for its lush native rainforest and rich biodiversity.
  • E. Kameari
    Kameari is a neighborhood in Tokyo best known as the long-running setting of the manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9fc72d081908d81c71133973daf completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e9084fc81909e1d46a111a1ef2b completed April 10, 2026, 4:37 a.m.
NEDg Description generation batch_69d886c325c4819089dac35eb26e7961 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dbbe97c8190861e08f3ff39f91b completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:10 p.m.