Triple

T8853251
Position Surface form Disambiguated ID Type / Status
Subject Wele-Nzas E210688 entity
Predicate bordersProvince P224 FINISHED
Object Centro Sur E210687 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: Centro Sur | Statement: [Wele-Nzas, bordersProvince, Centro Sur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centro Sur
Context triple: [Wele-Nzas, bordersProvince, Centro Sur]
  • A. Centro Sur chosen
    Centro Sur is a province in mainland Equatorial Guinea, known for its inland location and administrative role within the Río Muni region.
  • B. Distrito Central
    Distrito Central is the Honduran municipality that includes the capital city, Tegucigalpa, serving as the country’s main political and administrative center.
  • C. Zona Centro
    Zona Centro is the historic downtown district and main urban core of the city of San Luis Potosí, known for its colonial architecture, plazas, and cultural landmarks.
  • D. Santiago Oriente
    Santiago Oriente is an electoral district in Chile that encompasses several eastern communes of Santiago, known for being a predominantly affluent and urban area of the capital.
  • E. Costanera Norte
    Costanera Norte is a riverside area in Buenos Aires known for its coastal avenue, recreational spaces, nightlife venues, and views along the Río de la Plata.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c55e348190957b3bbb7397e380 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa09557dc81908b5690bf5c392528 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:49 p.m.