Triple

T4959275
Position Surface form Disambiguated ID Type / Status
Subject Souss-Massa E111363 entity
Predicate containsCity P294 FINISHED
Object Inzegane Aït Melloul E241655 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: Inzegane Aït Melloul | Statement: [Souss-Massa, containsCity, Inzegane Aït Melloul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inzegane Aït Melloul
Context triple: [Souss-Massa, containsCity, Inzegane Aït Melloul]
  • A. Aït Melloul chosen
    Aït Melloul is a town in southwestern Morocco that forms part of the greater Agadir metropolitan area and serves as an important local commercial and residential hub.
  • B. Sidi Kacem
    Sidi Kacem is a town in northwestern Morocco known as an agricultural and transport hub within the Rabat-Salé-Kénitra region.
  • C. Aguelmame Sidi Ali
    Aguelmame Sidi Ali is a high-altitude lake in Morocco renowned for its natural beauty and ecological significance within the Middle Atlas region.
  • D. Taounate
    Taounate is a prominent city in northern Morocco known as an administrative and commercial center for the surrounding rural and mountainous region.
  • E. Khenifra
    Khenifra is a Moroccan city situated in the Middle Atlas region, known for its Berber culture and surrounding mountainous 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71d957cc8190b82fdd1ca61924bf completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfa8578c8190948a1597ebac3ca6 completed March 21, 2026, 5:04 p.m.
Created at: March 20, 2026, 1:32 p.m.