Triple

T6846793
Position Surface form Disambiguated ID Type / Status
Subject Gökçeada E157915 entity
Predicate hasSettlement P1068 FINISHED
Object Zeytinli E272486 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: Zeytinli | Statement: [Gökçeada, hasSettlement, Zeytinli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeytinli
Context triple: [Gökçeada, hasSettlement, Zeytinli]
  • A. Simitli
    Simitli is a small town and municipality in southwestern Bulgaria, situated in the Blagoevgrad Province near the Struma River.
  • B. Oglio
    The Oglio is a river in northern Italy that flows through Lombardy and is one of the main tributaries of the Po River.
  • C. Olive chosen
    Olive is a given name and word most commonly associated with the small, oily fruit of the olive tree used for food and oil production.
  • D. Kastanitsa
    Kastanitsa is a traditional stone-built village in the Peloponnese region of Greece, known for its well-preserved Tsakonian architecture and scenic mountain setting.
  • E. Aycinena
    Aycinena is a prominent Guatemalan family name historically associated with a powerful conservative elite involved in politics, commerce, and colonial-era governance in Central America.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7cd0e64819097c9c211df8bce54 completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fc931d881908661483836cc059e completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:20 p.m.