Triple

T10835921
Position Surface form Disambiguated ID Type / Status
Subject Moroccan Atlantic watershed E255756 entity
Predicate hasMajorCityOnRivers P33130 FINISHED
Object Safi E467091 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: Safi | Statement: [Moroccan Atlantic watershed, hasMajorCityOnRivers, Safi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safi
Context triple: [Moroccan Atlantic watershed, hasMajorCityOnRivers, Safi]
  • A. Safi chosen
    Safi is a historic Moroccan port city on the Atlantic coast known for its fishing industry, ceramics, and Portuguese-era fortifications.
  • B. Safi
    Safi is a Pashtun tribe associated with the Karlani tribal confederation in Afghanistan and Pakistan.
  • C. Safa
    Safa is a principal deity in the Uatsdin (Assian) neo-pagan religious tradition, revered within the reconstructed Ossetian pantheon.
  • D. Khaleja
    Khaleja is a 2010 Telugu-language action-comedy film starring Mahesh Babu and Anushka Shetty, known for its blend of humor, fantasy elements, and social commentary.
  • E. Shuafat
    Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746fdefd4819099772efbd4f302cb completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.