Triple
T6985239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabylie |
E161944
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Lalla Khedidja |
E627253
|
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: Lalla Khedidja | Statement: [Kabylie, hasPeak, Lalla Khedidja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lalla Khedidja Context triple: [Kabylie, hasPeak, Lalla Khedidja]
-
A.
Lalla Khedidja
chosen
Lalla Khedidja is a prominent mountain peak in northern Algeria, known for its scenic views and significance within the Atlas Mountain range.
-
B.
Aguelmame Aziza
Aguelmame Aziza is a natural mountain lake in Morocco’s Middle Atlas region, known for its scenic beauty and ecological significance.
-
C.
Rachida Brakni
Rachida Brakni is a French actress and former member of the Comédie-Française, known for her acclaimed work in film, television, and theater.
-
D.
Wassila Ben Ammar
Wassila Ben Ammar was a prominent Tunisian political figure and the influential second wife of President Habib Bourguiba.
-
E.
Sidi Slimane
Sidi Slimane is a town in northwestern Morocco known for its agricultural surroundings and location within the fertile Gharb plain.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db91fbc881908c26b7b991995062 |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761cb0f1c8190b22b1ad2cd1d7a57 |
completed | March 28, 2026, 5:06 a.m. |
Created at: March 27, 2026, 2:31 p.m.