Triple

T17162248
Position Surface form Disambiguated ID Type / Status
Subject Black Drin E416508 entity
Predicate nearbyCity P350 FINISHED
Object Debar E320574 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: Debar | Statement: [Black Drin, nearbyCity, Debar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debar
Context triple: [Black Drin, nearbyCity, Debar]
  • A. Debar chosen
    Debar is a small town in western North Macedonia known for its proximity to Mount Korab and the Macedonian–Albanian border.
  • B. Debije
    Debije is the Dutch spelling of the surname of Peter Debye, the Nobel Prize–winning physical chemist known for his work in molecular structure and dipole moments.
  • C. Borsad
    Borsad is a town in the Indian state of Gujarat known for its agricultural markets and role as a local commercial center.
  • D. Debir
    Debir is an ancient Canaanite city mentioned in the Hebrew Bible, located in the hill country of Judah and associated with Israelite conquest narratives.
  • E. Behdet
    Behdet is an ancient Egyptian cult center in the Nile Delta particularly associated with the worship of the god Horus.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91258648190a40396067ba5ecd3 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc687788190864fa3922a31184d completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.