Triple
T3354915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freetown |
E70581
|
entity |
| Predicate | primaryEthnicGroups |
P194
|
FINISHED |
| Object | Mende |
E140677
|
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: Mende | Statement: [Freetown, primaryEthnicGroups, Mende]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mende Context triple: [Freetown, primaryEthnicGroups, Mende]
-
A.
Mende
chosen
The Mende are one of the largest ethnic groups in Sierra Leone, known for their rich traditions, secret societies, and significant influence on the country’s culture and politics.
-
B.
Mende
Mende is a small historic town in southern France that serves as the prefecture of the Lozère department in the Occitanie region.
-
C.
Zemst
Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
-
D.
Bulgari
Bulgari is a renowned Italian luxury brand celebrated for its high-end jewelry, watches, accessories, and fragrances.
-
E.
Kranidi
Kranidi is a coastal town in the Argolid region of the Peloponnese in Greece, known as a local administrative and commercial center near popular seaside resorts like Porto Heli.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2419a808190a54fc03eeec6e42d |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b325373a1c8190b26d883e2f0dd92b |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.