Triple

T12227208
Position Surface form Disambiguated ID Type / Status
Subject Poros E291383 entity
Predicate hasSettlement P1068 FINISHED
Object Poros town E859436 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: Poros town | Statement: [Poros, hasSettlement, Poros town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poros town
Context triple: [Poros, hasSettlement, Poros town]
  • A. Poros town chosen
    Poros town is the main settlement and harbor of the Greek island of Poros in the Saronic Gulf, known for its neoclassical waterfront, vibrant marina, and role as a popular weekend getaway from Athens.
  • B. Ekeremor Town
    Ekeremor Town is a principal urban center and administrative hub in Bayelsa State, Nigeria.
  • C. Sinquerim village
    Sinquerim village is a coastal settlement in North Goa, India, known for its proximity to the popular Sinquerim Beach and its laid-back Goan atmosphere.
  • D. Lyari Town
    Lyari Town is one of Karachi’s oldest and most densely populated neighborhoods, known for its vibrant working-class culture, political activism, and history of gang-related violence.
  • E. Eklingji town
    Eklingji town is a small pilgrimage settlement in Rajasthan, India, renowned for its historic complex of Hindu temples dedicated primarily to Lord Shiva.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca2101c8190955c36704935036a completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aab4a70819099856b990e3a8a1b completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.