Triple
T6719605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Madyan |
E153360
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Tlemcen |
E617379
|
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: Tlemcen | Statement: [Abu Madyan, burialPlace, Tlemcen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tlemcen Context triple: [Abu Madyan, burialPlace, Tlemcen]
-
A.
Tlemcen
chosen
Tlemcen is a historic city in northwestern Algeria known for its rich Islamic heritage, medieval architecture, and role as a major cultural and commercial center in the Maghreb.
-
B.
Cherchell
Cherchell is a historic coastal town in northern Algeria, known for its ancient Phoenician and Roman heritage and its role as a cultural center in the region.
-
C.
Tiznit
Tiznit is a historic town in southern Morocco known for its traditional silver jewelry craftsmanship and fortified old medina.
-
D.
Oujda
Oujda is a major city in northeastern Morocco near the Algerian border, known as an important commercial and cultural center of the region.
-
E.
Ouarzazate
Ouarzazate is a city in south-central Morocco known as a gateway to the Sahara Desert and a major hub for film production and desert tourism.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d137084881908e04ee6b2bd45585 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723be89c88190b4e231099b2a3071 |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:07 p.m.