Triple

T15864473
Position Surface form Disambiguated ID Type / Status
Subject Zwickau district E384673 entity
Predicate contains P35 FINISHED
Object Meerane E1006476 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: Meerane | Statement: [Zwickau district, contains, Meerane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meerane
Context triple: [Zwickau district, contains, Meerane]
  • A. Meerane chosen
    Meerane is a small industrial town in the German state of Saxony that forms part of the wider Leipzig metropolitan region.
  • B. Rohri
    Rohri is a historic town in Sindh, Pakistan, situated on the Indus River and known as a key railway and trade junction in the region.
  • C. Shahdara
    Shahdara is a locality on the northern outskirts of Lahore, Pakistan, serving as a major transport hub and gateway into the city.
  • D. Shahdara
    Shahdara is a densely populated residential and commercial locality in East Delhi, India, known as one of the city’s oldest suburbs and a key transport hub.
  • E. Ganaur
    Ganaur is a town in the northern Indian state of Haryana, known for its agricultural markets and proximity to major transport routes connecting it to Delhi and other regional centers.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555e4ee48190a3b27b4ab9bdb1c8 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa945d9808190a65f5182db341393 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.