Triple

T3330317
Position Surface form Disambiguated ID Type / Status
Subject South Semitic languages E70016 entity
Predicate includesLanguage P2177 FINISHED
Object Tigre E87133 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: Tigre | Statement: [South Semitic languages, includesLanguage, Tigre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tigre
Context triple: [South Semitic languages, includesLanguage, Tigre]
  • A. Tigre chosen
    Tigre is a Semitic Afroasiatic language spoken primarily by the Tigre people in Eritrea and parts of Sudan.
  • B. Leone
    Leone is a village on the island of Tutuila in American Samoa, known for its coastal setting and traditional Samoan culture.
  • C. Tapirira
    Tapirira is a genus of tropical trees in the cashew and sumac family, known for species that often dominate lowland Neotropical forests.
  • D. Pumas
    The Pumas are Argentina's national rugby union team, known for competing at the highest international level, including in major tournaments like The Rugby Championship and the Rugby World Cup.
  • E. Pumas
    Pumas is a popular Mexican professional football club based in Mexico City, officially known as Club Universidad Nacional.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb171ee0881908642504ab0ac8329 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a810e2c8190bfc206bdeb1ac5b8 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.