Triple

T9121971
Position Surface form Disambiguated ID Type / Status
Subject N11 E218874 entity
Predicate connectsCity P4245 FINISHED
Object Groblersdal E544091 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: Groblersdal | Statement: [N11, connectsCity, Groblersdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groblersdal
Context triple: [N11, connectsCity, Groblersdal]
  • A. Groblersdal chosen
    Groblersdal is a town in South Africa’s Limpopo province known as an important agricultural center, particularly for irrigation-based farming.
  • B. Andriesvale
    Andriesvale is a place named in honor of the 19th-century Boer leader and Voortrekker general Andries Pretorius.
  • C. Stormberg
    Stormberg is a mountainous region in South Africa known for its high plateaus, rugged terrain, and significant geological and historical features.
  • D. Colesberg
    Colesberg is a small historic town in South Africa’s Northern Cape, known as a key stopover on the N1 highway and a gateway to the semi-arid Karoo region.
  • E. Magoebaskloof
    Magoebaskloof is a scenic mountainous region in South Africa’s Limpopo Province, known for its lush indigenous forests, misty passes, waterfalls, and outdoor recreation.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b46dac8190bde88205c85f596a completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0544c06ec8190917707d75db7e9c5 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:17 p.m.