Triple
T5309498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beni Mellal |
E118986
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | Fes |
E12903
|
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: Fes | Statement: [Beni Mellal, roadConnection, Fes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fes Context triple: [Beni Mellal, roadConnection, Fes]
-
A.
Fez
chosen
Fez is a historic imperial city in northern Morocco renowned for its well-preserved medieval medina, traditional craftsmanship, and status as a major cultural and religious center.
-
B.
Fages
Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
-
C.
Fiquet
Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
-
D.
Fagasa
Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
-
E.
Foix
Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8532c26c819084f5b8de542cd309 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10ffb1f08190aba4c1c860085c92 |
completed | March 21, 2026, 9:43 p.m. |
Created at: March 20, 2026, 1:53 p.m.