Triple

T3839403
Position Surface form Disambiguated ID Type / Status
Subject Abemama E93413 entity
Predicate hasSettlement P1068 FINISHED
Object Tabontebike
Tabontebike is a village on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
 E393857 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: Tabontebike | Statement: [Abemama, hasSettlement, Tabontebike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tabontebike
Context triple: [Abemama, hasSettlement, Tabontebike]
  • A. Scooter
    Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
  • B. Scooter
    "Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • C. Bikenibeu
    Bikenibeu is a major village and administrative center on Tarawa Atoll in the Pacific island nation of Kiribati.
  • D. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • E. Sidecar
    Sidecar is a macOS feature that lets you use an iPad as a secondary display and input device for your Mac, supporting Apple Pencil and touch interactions.
  • 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: Tabontebike
Triple: [Abemama, hasSettlement, Tabontebike]
Generated description
Tabontebike is a village on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tabontebike
Target entity description: Tabontebike is a village on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
  • A. Scooter
    Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
  • B. Scooter
    "Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • C. Bikenibeu
    Bikenibeu is a major village and administrative center on Tarawa Atoll in the Pacific island nation of Kiribati.
  • D. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • E. Sidecar
    Sidecar is a macOS feature that lets you use an iPad as a secondary display and input device for your Mac, supporting Apple Pencil and touch interactions.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeb9f305c8190b71ac53bbb0c4beb completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040835dc81909ecf5053128f1cc7 completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b507cfee048190a41ad30f4ceaf6c8 completed March 14, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b50857e9ec8190bb03f13c4573b779 completed March 14, 2026, 7:03 a.m.
Created at: March 9, 2026, 3:18 p.m.