Triple

T16310989
Position Surface form Disambiguated ID Type / Status
Subject Taneti Maamau E396053 entity
Predicate givenName P17 FINISHED
Object Taneti
Taneti is the given name of Taneti Maamau, the President of Kiribati.
E1206486 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: Taneti | Statement: [Taneti Maamau, givenName, Taneti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taneti
Context triple: [Taneti Maamau, givenName, Taneti]
  • A. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • B. Tanasitolo
    Tanasitolo is a village-level settlement located within Wajo Regency in South Sulawesi, Indonesia.
  • C. Teià
    Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
  • D. Tanimaiaki
    Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
  • E. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • 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: Taneti
Triple: [Taneti Maamau, givenName, Taneti]
Generated description
Taneti is the given name of Taneti Maamau, the President of Kiribati.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taneti
Target entity description: Taneti is the given name of Taneti Maamau, the President of Kiribati.
  • A. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • B. Tanasitolo
    Tanasitolo is a village-level settlement located within Wajo Regency in South Sulawesi, Indonesia.
  • C. Teià
    Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
  • D. Tanimaiaki
    Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
  • E. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288da27f88190aa241e3addf9cd7f completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0026044a5881908773e286fb1a6e3e completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0026c9b5c481908f60d2ebfb3f71d7 completed May 10, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_6a00273dd8fc8190b84b8a96442781ee completed May 10, 2026, 6:35 a.m.
Created at: April 10, 2026, 5:06 a.m.