Triple

T13408403
Position Surface form Disambiguated ID Type / Status
Subject Syrian Turkmen E320019 entity
Predicate historicallyConcentratedIn P73228 FINISHED
Object Azaz area E993052 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: Azaz area | Statement: [Syrian Turkmen, historicallyConcentratedIn, Azaz area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azaz area
Context triple: [Syrian Turkmen, historicallyConcentratedIn, Azaz area]
  • A. Asni area
    The Asni area is a mountainous region in Morocco’s High Atlas known for its Berber villages, scenic valleys, and role as a gateway to nearby trekking and tourist destinations.
  • B. Al Dafna area
    Al Dafna area is a prominent modern business and commercial district in Doha, Qatar, known for its high-rise skyline along the waterfront.
  • C. Abzhua area
    The Abzhua area is a historical region in Abkhazia traditionally associated with the Abzhywa (Abzhua) subgroup of the Abkhaz people and their dialect.
  • D. Azaz chosen
    Azaz is a town and district center in northern Syria, situated near the Turkish border and known for its strategic location within the Aleppo region.
  • E. Bahdinan region
    The Bahdinan region is a historical and cultural area in northern Iraqi Kurdistan traditionally associated with the Behdini-speaking Kurds.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4d2c5481908facfaaa1501e344 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307ad4448190b4fb99abcc00430b completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:35 p.m.