Triple
T11993641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stade du 5 Juillet 1962 |
E285473
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Algiers metropolitan area |
E10377
|
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: Algiers metropolitan area | Statement: [Stade du 5 Juillet 1962, locatedIn, Algiers metropolitan area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Algiers metropolitan area Context triple: [Stade du 5 Juillet 1962, locatedIn, Algiers metropolitan area]
-
A.
Algiers
chosen
Algiers is the capital and largest city of Algeria, a major political, economic, and cultural center on the Mediterranean coast of North Africa.
-
B.
Aïn M’lila
Aïn M’lila is a city in northeastern Algeria known as a regional commercial and transportation hub.
-
C.
Tunis
Tunis is the capital and largest city of Tunisia, serving as a major political, economic, and cultural center in the Arab world.
-
D.
Benslimane
Benslimane is a town and provincial capital in northwestern Morocco, known for its forests and proximity to Casablanca.
-
E.
Mostaganem
Mostaganem is a coastal city in northwestern Algeria known historically as a strategic Mediterranean port and regional center of trade and culture.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e391d7c8190a414cb3306bfe139 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:46 p.m.