Triple

T22506939
Position Surface form Disambiguated ID Type / Status
Subject Babylon Governorate E556413 entity
Predicate capital P234 FINISHED
Object Hillah 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: Hillah | Statement: [Babylon Governorate, capital, Hillah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hillah
Context triple: [Babylon Governorate, capital, Hillah]
  • A. Hillah chosen
    Hillah is a city in central Iraq on the Euphrates River, known as the modern settlement adjacent to the ruins of ancient Babylon.
  • B. Zahleh
    Zahleh is a major city in Lebanon’s Beqaa Valley, known for its predominantly Christian population, wineries, and role as a regional cultural and economic center.
  • C. Kfarhay
    Kfarhay is a small village located in the Batroun District of northern Lebanon, known for its rural character and traditional Lebanese landscape.
  • D. Umm al-Hasan
    Umm al-Hasan was a daughter of Hasan ibn Ali, the second Shia Imam and grandson of the Prophet Muhammad, and thus a member of the early Islamic prophetic household (Ahl al-Bayt).
  • E. Kafr Qallil
    Kafr Qallil is a Palestinian village located in the Nablus area of the northern West Bank.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5cddf88190821d9c9fdee84160 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.