Triple

T12978476
Position Surface form Disambiguated ID Type / Status
Subject Al Shahaniya Municipality E321590 entity
Predicate hasSettlement P1068 FINISHED
Object Al Shahaniya E1017787 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 Shahaniya | Statement: [Al Shahaniya Municipality, hasSettlement, Al Shahaniya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Shahaniya
Context triple: [Al Shahaniya Municipality, hasSettlement, Al Shahaniya]
  • A. Al Shahaniya chosen
    Al Shahaniya is a town in western Qatar known for its camel racing track and role as an administrative and cultural center in the region.
  • B. Almaqah
    Almaqah is the principal moon god of the ancient Sabaean civilization in South Arabia, associated with kingship, fertility, and monumental temple complexes.
  • C. Khujayli
    Khujayli is a city in the autonomous Republic of Karakalpakstan in western Uzbekistan, serving as one of its local administrative and population centers.
  • D. Al Shahran
    Al Shahran is a prominent Arabian subtribe historically associated with the larger Qahtan tribal confederation.
  • E. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f4bedc81909b8dfa79a842e12d completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:38 p.m.