Triple

T22971750
Position Surface form Disambiguated ID Type / Status
Subject Vila do Conde E571204 entity
Predicate hasParish P35 FINISHED
Object Gião 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: Gião | Statement: [Vila do Conde, hasParish, Gião]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gião
Context triple: [Vila do Conde, hasParish, Gião]
  • A. Gião chosen
    Gião is a civil parish located within the municipality of Ovar in northern Portugal.
  • B. Gio Linh
    Gio Linh is a district in Quảng Trị Province, Vietnam, known for its strategic location near the former Vietnamese Demilitarized Zone and its heavy involvement in the Vietnam War.
  • C. Giong Rieng
    Giong Rieng is a town in Vietnam’s Mekong Delta region, serving as a local administrative and commercial center within Kien Giang province.
  • D. Namgia
    Namgia is a small Himalayan village in India’s Himachal Pradesh, known as one of the last settlements before the Indo-Tibetan border near the high mountain pass of Shipki La.
  • E. Dong Khe
    Dong Khe is a town in northern Vietnam known historically as a strategic point during the First Indochina War, particularly in the Battle of Route Coloniale 4.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1823370fc819084a13d6e4eb6e44e completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.