Triple

T16132245
Position Surface form Disambiguated ID Type / Status
Subject Gévaudan E391426 entity
Predicate historicalName P65 FINISHED
Object Gabalitanum
Gabalitanum is the ancient Latin name for the historical region of Gévaudan in south-central France.
E1195343 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: Gabalitanum | Statement: [Gévaudan, historicalName, Gabalitanum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabalitanum
Context triple: [Gévaudan, historicalName, Gabalitanum]
  • A. Galiwin’ku
    Galiwin’ku is a remote Indigenous community on Elcho Island in Australia’s Northern Territory, known as one of the largest and most significant homelands of the Yolngu people.
  • B. Talitay
    Talitay is a municipality located in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao, Philippines.
  • C. Hinunangan
    Hinunangan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its beaches and nearby island attractions.
  • D. Gibitngil
    Gibitngil is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its coastal scenery and marine activities.
  • E. Agrabahan
    Agrabahan refers to a fictional nationality associated with the inhabitants of Agrabah, the Middle Eastern-inspired city in Disney’s Aladdin universe.
  • 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: Gabalitanum
Triple: [Gévaudan, historicalName, Gabalitanum]
Generated description
Gabalitanum is the ancient Latin name for the historical region of Gévaudan in south-central France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gabalitanum
Target entity description: Gabalitanum is the ancient Latin name for the historical region of Gévaudan in south-central France.
  • A. Galiwin’ku
    Galiwin’ku is a remote Indigenous community on Elcho Island in Australia’s Northern Territory, known as one of the largest and most significant homelands of the Yolngu people.
  • B. Talitay
    Talitay is a municipality located in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao, Philippines.
  • C. Hinunangan
    Hinunangan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its beaches and nearby island attractions.
  • D. Gibitngil
    Gibitngil is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its coastal scenery and marine activities.
  • E. Agrabahan
    Agrabahan refers to a fictional nationality associated with the inhabitants of Agrabah, the Middle Eastern-inspired city in Disney’s Aladdin universe.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a02172c8190978f7951ccd80928 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b1b7248190a1bba4a87db8318b completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3478bfc8190bbcc0afbf6dbb089 completed May 10, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_69fff3d29f50819093a9355d016f48dd completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 5:01 a.m.