Triple

T5622174
Position Surface form Disambiguated ID Type / Status
Subject Western Syria E147632 entity
Predicate includesCity P3207 FINISHED
Object Daraa E498906 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: Daraa | Statement: [Western Syria, includesCity, Daraa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daraa
Context triple: [Western Syria, includesCity, Daraa]
  • A. Daraa Governorate chosen
    Daraa Governorate is a strategically important region in southwestern Syria, bordering Jordan and often regarded as the birthplace of the Syrian uprising.
  • B. Kassala
    Kassala is a city in eastern Sudan near the Eritrean border, known as a regional trade center and for its striking granite hills and cultural diversity.
  • C. Ibb
    Ibb is a city in southwestern Yemen known for its lush green landscapes, mild climate, and historical architecture.
  • D. Hadrut
    Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
  • E. Berbera
    Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
  • 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c022133eec819086acb04864dde5ee completed March 22, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a0ed3748190875aacdf5e9ee211 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:40 p.m.