Triple

T19166195
Position Surface form Disambiguated ID Type / Status
Subject Bahawalnagar E469188 entity
Predicate historicalName P65 FINISHED
Object Ramasar NE NERFINISHED

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: Ramasar | Statement: [Bahawalnagar, historicalName, Ramasar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramasar
Context triple: [Bahawalnagar, historicalName, Ramasar]
  • A. Ramsar
    Ramsar is a coastal city in northern Iran on the Caspian Sea, known for its lush forests, hot springs, and role as a popular tourist resort.
  • B. Ramsar chosen
    Ramsar is a town in Rajasthan, India, known for its location in the arid Thar Desert region.
  • C. Kolkheti wetlands
    The Kolkheti wetlands are a vast coastal wetland and peatland ecosystem in western Georgia, renowned for their rich biodiversity and importance as a habitat for migratory birds.
  • D. Dalun wetlands
    Dalun wetlands is a coastal wetland area in Chiayi County, Taiwan, known for its rich biodiversity and importance as a habitat for migratory birds.
  • E. Mandra–Poda wetland complex
    The Mandra–Poda wetland complex is a protected coastal lagoon and marsh area near Burgas, Bulgaria, renowned for its rich birdlife and importance as a stopover site for migratory waterfowl.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f15ee064819087f9fd822236298f completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.