Triple

T1739810
Position Surface form Disambiguated ID Type / Status
Subject Assyrian Church of the East E38206 entity
Predicate patriarchalSee P13033 FINISHED
Object Erbil E67752 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: Erbil | Statement: [Assyrian Church of the East, patriarchalSee, Erbil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erbil
Context triple: [Assyrian Church of the East, patriarchalSee, Erbil]
  • A. Erbil chosen
    Erbil is the capital and largest city of the Kurdistan Region in northern Iraq, known as one of the world’s oldest continuously inhabited urban centers.
  • B. Mosul
    Mosul is a major historic city in northern Iraq, known as a cultural and economic center on the Tigris River.
  • C. Tikrit
    Tikrit is a city in northern Iraq best known as the hometown of former president Saddam Hussein and a focal point in recent Iraqi history.
  • D. Baghdad
    Baghdad is the capital and largest city of Iraq, historically renowned as a major center of the Islamic Golden Age and a key cultural and economic hub of the Arab world.
  • E. Sulaymaniyah
    Sulaymaniyah is a major city in the Kurdistan Region of Iraq, known as a cultural and economic center with a diverse linguistic landscape.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c4639c81908b91b2559f0c6a5c completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5c065088190b831c65ae55eed14 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:30 p.m.