Triple
T16532704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jebel Ichkeul |
E401605
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Mateur |
E428095
|
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: Mateur | Statement: [Jebel Ichkeul, nearbyCity, Mateur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mateur Context triple: [Jebel Ichkeul, nearbyCity, Mateur]
-
A.
Mateur
chosen
Mateur is a town in northern Tunisia known as an agricultural and transport hub situated near Lake Ichkeul.
-
B.
El Maasara
El Maasara is a district and suburban area in the southern part of Greater Cairo, Egypt, known for its residential neighborhoods and industrial zones.
-
C.
Mejnour
Mejnour is a mysterious and powerful Rosicrucian adept who serves as the immortal mentor figure in Edward Bulwer-Lytton’s occult novel "Zanoni."
-
D.
El Mokrani
El Mokrani is a town and commune located within Bouira Province in northern Algeria.
-
E.
Tazoult
Tazoult is a town in northeastern Algeria known for its historical significance and proximity to the ancient Roman site of Lambaesis.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed97b0881909de106418aca8180 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067a913388190afebe40fcc42e731 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.