Triple

T21120871
Position Surface form Disambiguated ID Type / Status
Subject Greece at İpsala E520425 entity
Predicate locatedNear P294 FINISHED
Object İpsala 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: İpsala | Statement: [Greece at İpsala, locatedNear, İpsala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: İpsala
Context triple: [Greece at İpsala, locatedNear, İpsala]
  • A. İpsala district chosen
    İpsala district is an administrative district in Turkey’s Edirne Province, known for its agricultural production and its strategic border crossing with Greece.
  • B. Monachil
    Monachil is a municipality in the province of Granada, Spain, known as a gateway to the Sierra Nevada mountains and nearby ski and hiking areas.
  • C. Argassi
    Argassi is a popular seaside resort village on the Greek island of Zakynthos, known for its beaches, nightlife, and proximity to Zakynthos Town.
  • D. Cabadbaran
    Cabadbaran is a component city in the Caraga region of the Philippines, serving as the capital of the province of Agusan del Norte.
  • E. Manyas
    Manyas is a town and district in northwestern Turkey known for its proximity to Lake Manyas and its rich birdlife.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e722348fe08190a1f079b7b0b5dd14 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:55 p.m.