Triple

T12741981
Position Surface form Disambiguated ID Type / Status
Subject Majha (Punjab) E304509 entity
Predicate containsCity P294 FINISHED
Object Batala E307410 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: Batala | Statement: [Majha (Punjab), containsCity, Batala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batala
Context triple: [Majha (Punjab), containsCity, Batala]
  • A. Batala chosen
    Batala is a historic industrial city in the Majha region of Punjab, India, known for its religious sites and metalworking industry.
  • B. Battir
    Battir is a Palestinian village near Bethlehem renowned for its ancient terraced agriculture and irrigation system, recognized as a UNESCO World Heritage Site.
  • C. Galwa
    Galwa is a dialect of the Myene language spoken by communities in Gabon.
  • D. Dambatta
    Dambatta is a prominent town and local government area in northern Nigeria, situated within Kano State and known for its role in regional commerce and agriculture.
  • E. Ballia
    Ballia is a city in the eastern part of Uttar Pradesh, India, known for its role in the Indian independence movement and as an administrative, cultural, and commercial center of the surrounding region.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd321bc81908eb61cc05b550754 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c91ed7c81909165dc300d5b23ae completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:26 p.m.