Triple
T3241972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mali Empire |
E67983
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Djenne
Djenné is an ancient trading city in present-day Mali renowned for its mud-brick architecture and historic role as a center of Islamic scholarship and trans-Saharan commerce.
|
E342327
|
NE FINISHED |
How this triple was built (4 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: Djenne | Statement: [Mali Empire, majorCity, Djenne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Djenne Context triple: [Mali Empire, majorCity, Djenne]
-
A.
Kidal
Kidal is a remote desert town in northeastern Mali that serves as a key cultural and political center for Tuareg communities in the Adagh region.
-
B.
Ndjolé
Ndjolé is a town in central Gabon that serves as an important river port and transport hub along the Ogooué River.
-
C.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
-
D.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
E.
Téboursouk
Téboursouk is a town in northern Tunisia known as a gateway to the nearby ancient Roman ruins of Dougga.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Djenne Triple: [Mali Empire, majorCity, Djenne]
Generated description
Djenné is an ancient trading city in present-day Mali renowned for its mud-brick architecture and historic role as a center of Islamic scholarship and trans-Saharan commerce.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Djenne Target entity description: Djenné is an ancient trading city in present-day Mali renowned for its mud-brick architecture and historic role as a center of Islamic scholarship and trans-Saharan commerce.
-
A.
Kidal
Kidal is a remote desert town in northeastern Mali that serves as a key cultural and political center for Tuareg communities in the Adagh region.
-
B.
Ndjolé
Ndjolé is a town in central Gabon that serves as an important river port and transport hub along the Ogooué River.
-
C.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
-
D.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
E.
Téboursouk
Téboursouk is a town in northern Tunisia known as a gateway to the nearby ancient Roman ruins of Dougga.
- F. None of above. chosen
Provenance (5 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef76d908190815bb456e366ee0a |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28eadeff481909bd48cdf51044f86 |
completed | March 12, 2026, 10 a.m. |
| NEDg | Description generation | batch_69b28f9e12488190b93355b783300264 |
completed | March 12, 2026, 10:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2c092063481909982dea3f71c00c1 |
completed | March 12, 2026, 1:33 p.m. |
Created at: March 8, 2026, 3:08 p.m.