Triple

T2859665
Position Surface form Disambiguated ID Type / Status
Subject Rhodope Mountains E63288 entity
Predicate containsTown P847 FINISHED
Object Xanthi E308552 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: Xanthi | Statement: [Rhodope Mountains, containsTown, Xanthi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xanthi
Context triple: [Rhodope Mountains, containsTown, Xanthi]
  • A. Xanthi chosen
    Xanthi is a historic city in northeastern Greece known for its multicultural character, well-preserved old town, and vibrant annual carnival.
  • B. Karditsa
    Karditsa is a city in central Greece known for its flat terrain, cycling culture, and role as an agricultural and commercial hub of the Thessaly region.
  • C. Volos
    Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
  • D. Lavrio
    Lavrio is a coastal town in southeastern Attica, Greece, historically known for its ancient silver mines and modern port facilities.
  • E. Kilkis
    Kilkis is a town in northern Greece that serves as an important regional center in Central Macedonia, known for its role in the Balkan Wars and its surrounding agricultural plain.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf8aec3c8190a4168d8c916b5268 completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12e0c57b481908726496e6c2fc395 completed March 11, 2026, 8:55 a.m.
Created at: March 6, 2026, 10:02 p.m.