Triple
T14586471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djenné |
E342327
|
entity |
| Predicate | hasStructure |
P35
|
FINISHED |
| Object | old town of Djenné |
E201169
|
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: old town of Djenné | Statement: [Djenné, hasStructure, old town of Djenné]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: old town of Djenné Context triple: [Djenné, hasStructure, old town of Djenné]
-
A.
Old Towns of Djenné
chosen
The Old Towns of Djenné are a historic urban ensemble in Mali renowned for their distinctive Sudano-Sahelian mud-brick architecture and long-standing role as a center of trans-Saharan trade and Islamic scholarship.
-
B.
Djenné
Djenné is an ancient Malian town renowned for its mud-brick architecture and historic Great Mosque, a UNESCO World Heritage site and one of the most famous examples of Sudano-Sahelian architecture.
-
C.
Djenné Songhay
Djenné Songhay is a regional variety of the Songhay language spoken around the town of Djenné in Mali.
-
D.
Timbuktu
Timbuktu is an ancient city in Mali famed as a historic center of trans-Saharan trade and Islamic scholarship.
-
E.
Bignona
Bignona is a town in southern Senegal’s Casamance region, known as a local center of trade and cultural diversity.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb421bb308190a457425429ef6aa5 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94bef27481908c108110dbf21780 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.