Triple

T19934144
Position Surface form Disambiguated ID Type / Status
Subject Kothandaramar E479129 entity
Predicate meaningOfName P1966 FINISHED
Object Rama with the bow 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: Rama with the bow | Statement: [Kothandaramar, meaningOfName, Rama with the bow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rama with the bow
Context triple: [Kothandaramar, meaningOfName, Rama with the bow]
  • A. Rama's bow chosen
    Rama's bow is the legendary divine weapon wielded by the hero Rama in the Ramayana, most famously used in the climactic Battle of Lanka against the demon king Ravana.
  • B. Rama with Sita
    Rama with Sita refers to the revered divine couple in Hinduism, embodying the ideals of righteousness, devotion, and marital fidelity.
  • C. Rama
    Rama is a river in Bosnia and Herzegovina that flows through mountainous terrain before joining the Neretva River.
  • D. Rama
    Rama is a well-known margarine and spread brand widely used for cooking and baking in various international markets.
  • E. Rama
    Rama is a small scenic village in Pakistan’s Gilgit-Baltistan region, known as a gateway to the lush Rama Meadows and views of Nanga Parbat.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a1553348190a6c4004d3f9a57c5 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.