Triple

T6473331
Position Surface form Disambiguated ID Type / Status
Subject Rutba E146007 entity
Predicate region P40 FINISHED
Object Al-Rutba District E597894 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: Al-Rutba District | Statement: [Rutba, region, Al-Rutba District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Rutba District
Context triple: [Rutba, region, Al-Rutba District]
  • A. Al-Rutba District chosen
    Al-Rutba District is a large, sparsely populated administrative district in western Iraq’s Al Anbar Governorate, encompassing vast desert areas near the borders with Jordan and Saudi Arabia.
  • B. Hasbaya District
    Hasbaya District is an administrative district in southern Lebanon known for its mountainous landscape, historic town of Hasbaya, and proximity to the Golan Heights and the Israeli border.
  • C. Qurm district
    Qurm district is an upscale coastal neighborhood in Muscat, Oman, known for its beaches, commercial centers, and cultural landmarks.
  • D. Gelan District
    Gelan District is an administrative district in southeastern Afghanistan, located within Ghazni Province.
  • E. Ayn al-Arab District
    Ayn al-Arab District is a region in northern Syria centered on the town of Kobani, known for its strategic location near the Turkish border and its role in the Syrian conflict.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a32c0188190bcb3c35fc1d796a6 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c669e06d088190baf3b220bd3bc56c completed March 27, 2026, 11:28 a.m.
Created at: March 22, 2026, 4:50 p.m.