Triple

T3361265
Position Surface form Disambiguated ID Type / Status
Subject Dicle E70724 entity
Predicate hasMajorCityOnBanks P14915 FINISHED
Object Baghdad E14388 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: Baghdad | Statement: [Dicle, hasMajorCityOnBanks, Baghdad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baghdad
Context triple: [Dicle, hasMajorCityOnBanks, Baghdad]
  • A. Baghdad chosen
    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.
  • 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. Erbil
    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.
  • E. Najaf
    Najaf is a major Iraqi city revered as a holy center of Shia Islam and home to the Imam Ali Shrine.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb267ec1081909a4e3e227d5bad01 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38badfa648190a1391627a5c6a478 completed March 13, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:13 p.m.