Triple

T7252500
Position Surface form Disambiguated ID Type / Status
Subject Toʻabaita language E157636 entity
Predicate hasGlottologName P6521 FINISHED
Object Toabaita E538596 NE FINISHED

How this triple was built (2 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: Toabaita | Statement: [Toʻabaita language, hasGlottologName, Toabaita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toabaita
Context triple: [Toʻabaita language, hasGlottologName, Toabaita]
  • A. Toabaita chosen
    Toabaita is an Oceanic language spoken in the Solomon Islands, primarily on Malaita Island.
  • B. Thebai
    Thebai is the ancient Greek name for Thebes, the prominent city in Upper Egypt that served as a major religious and political center, especially during the New Kingdom.
  • C. Tobalaba
    Tobalaba is a major Santiago Metro station in Chile that serves as an important transfer point between multiple lines in the city’s rapid transit network.
  • D. Tabonibara
    Tabonibara is a village located on the atoll of Butaritari in the island nation of Kiribati in the central Pacific Ocean.
  • E. Baitadi
    Baitadi is a hilly district in far-western Nepal known for its rural landscapes, agriculture-based economy, and proximity to the Indian border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea7ae0e48190bd80c91bad1976c6 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3a7502081909d2a97a60cc445ae completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:56 p.m.