Triple
T19291576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inezgane-Aït Melloul Prefecture |
E482454
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Inezgane |
—
|
NE NERFINISHED |
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: Inezgane | Statement: [Inezgane-Aït Melloul Prefecture, hasMunicipality, Inezgane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inezgane Context triple: [Inezgane-Aït Melloul Prefecture, hasMunicipality, Inezgane]
-
A.
Inezgane
chosen
Inezgane is a town in southwestern Morocco known as a major transport hub and commercial center just inland from the coastal city of Agadir.
-
B.
Inyathi
Inyathi is a notable work associated with the artist or creator known as Gaia.
-
C.
Makaziwe
Makaziwe is a South African academic and businesswoman best known as the daughter of Nelson Mandela.
-
D.
Incwala
Incwala is the most sacred annual Swazi national ceremony, centered on kingship, renewal, and unity, and led by the House of Dlamini.
-
E.
Tazzelenghe
Tazzelenghe is a rare, intensely tannic red wine grape native to Italy’s Friuli region, known for producing deeply colored, robust wines with pronounced acidity and dark fruit flavors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc05c9dc8190846b279f82ae0fa3 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:31 p.m.