Triple

T20747159
Position Surface form Disambiguated ID Type / Status
Subject Yaté E510615 entity
Predicate hasSettlement P1068 FINISHED
Object Waho
Waho is a small settlement located in the commune of Yaté in the South Province of New Caledonia.
 E1448647 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: Waho | Statement: [Yaté, hasSettlement, Waho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waho
Context triple: [Yaté, hasSettlement, Waho]
  • A. Wahoowa
    Wahoowa is a spirited cheer and rallying cry closely associated with the University of Virginia and its sports teams, the Cavaliers (often called the Hoos).
  • B. Waurika
    Waurika is a small city in southern Oklahoma known as the administrative and economic hub of Jefferson County.
  • C. Wechihi
    Wechihi is a dialect of the Southern Valley Yokuts language traditionally spoken by Indigenous Yokuts people of California’s San Joaquin Valley.
  • D. Wawat
    Wawat was an ancient Nubian region in Lower Nubia that played a strategically important role in the political and economic interactions between Egypt and Nubia.
  • E. Wanano
    Wanano is an indigenous Tucanoan language spoken by the Wanano people of the northwest Amazon region in Brazil and Colombia.
  • 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: Waho
Triple: [Yaté, hasSettlement, Waho]
Generated description
Waho is a small settlement located in the commune of Yaté in the South Province of New Caledonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waho
Target entity description: Waho is a small settlement located in the commune of Yaté in the South Province of New Caledonia.
  • A. Wahoowa
    Wahoowa is a spirited cheer and rallying cry closely associated with the University of Virginia and its sports teams, the Cavaliers (often called the Hoos).
  • B. Waurika
    Waurika is a small city in southern Oklahoma known as the administrative and economic hub of Jefferson County.
  • C. Wechihi
    Wechihi is a dialect of the Southern Valley Yokuts language traditionally spoken by Indigenous Yokuts people of California’s San Joaquin Valley.
  • D. Wawat
    Wawat was an ancient Nubian region in Lower Nubia that played a strategically important role in the political and economic interactions between Egypt and Nubia.
  • E. Wanano
    Wanano is an indigenous Tucanoan language spoken by the Wanano people of the northwest Amazon region in Brazil and Colombia.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c225c564819088f2461467698095 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e84274d08190a851de1f415bcbc6 completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e8fc1d6c819083f06debaa3bec24 completed May 16, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_6a08e98a594c8190b3a2d9ae7e3af4f7 completed May 16, 2026, 10:02 p.m.
Created at: April 16, 2026, 12:33 p.m.