Triple

T22805903
Position Surface form Disambiguated ID Type / Status
Subject Damascus Basin E564531 entity
Predicate contains P35 FINISHED
Object Damascus 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: Damascus | Statement: [Damascus Basin, contains, Damascus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damascus
Context triple: [Damascus Basin, contains, Damascus]
  • A. Damascus
    Damascus is a small rural city in Early County, southwestern Georgia, known for its agricultural surroundings and tight-knit community.
  • B. Damascus
    Damascus is a small rural community located within the township of Wellington North in Ontario, Canada.
  • C. Damascus chosen
    Damascus is the capital and one of the largest cities of Syria, renowned as one of the oldest continuously inhabited cities in the world and a historic cultural and commercial center of the Arab world.
  • D. Aleppo
    Aleppo is an ancient and historically significant city in northern Syria, renowned for its rich cultural heritage, medieval architecture, and role as a major trading hub along the Silk Road.
  • E. Maidin
    Maidin is a Malay family name notably borne by Rashid Maidin, a prominent figure in Malaysian political history.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5c193481908550993e2547515d completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:32 p.m.