Triple

T4527176
Position Surface form Disambiguated ID Type / Status
Subject Logudoro E106207 entity
Predicate contains P35 FINISHED
Object Tissi E423887 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: Tissi | Statement: [Logudoro, contains, Tissi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tissi
Context triple: [Logudoro, contains, Tissi]
  • A. Tissi chosen
    Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
  • B. Takrur
    Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
  • C. Téboursouk
    Téboursouk is a town in northern Tunisia known as a gateway to the nearby ancient Roman ruins of Dougga.
  • D. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • E. Bittou
    Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd577737848190ad509c8bb8e57ec0 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacd8d7b0819082c8797a2f819cd5 completed March 20, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:03 p.m.