Triple

T16170355
Position Surface form Disambiguated ID Type / Status
Subject Middle Juba E392417 entity
Predicate containsSettlement P847 FINISHED
Object Bu'aale E1200389 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: Bu'aale | Statement: [Middle Juba, containsSettlement, Bu'aale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bu'aale
Context triple: [Middle Juba, containsSettlement, Bu'aale]
  • A. Bu'aale chosen
    Bu'aale is a town in southern Somalia that serves as an important administrative and commercial center in the Middle Juba region.
  • B. Pa'a
    Pa'a is a Chadic language spoken in northern Nigeria, closely related to and geographically near the Warji language.
  • C. Nukulaelae
    Nukulaelae is one of the small coral atolls of Tuvalu in the central Pacific Ocean, home to a traditional Tuvaluan community and culture.
  • D. Atafu
    Atafu is one of the three main atolls of Tokelau in the South Pacific Ocean, serving as a key population and administrative center for the territory.
  • E. Tahuata
    Tahuata is a small, rugged island in the southern Marquesas archipelago of French Polynesia, known for its traditional Polynesian culture and remote, scenic landscapes.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb6de30819083af54b50ae5ae51 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ec9ab2c819098d96dae98f78f50 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:02 a.m.